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基于锥光全息原理的三维测量技术研究
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摘要
光学非接触式测量是当前三维测量领域的研究热点,对提高检测速度、降低损耗、增强检测手段的环境适应性具有重要意义。在各种非接触式测量方法中,锥光全息法以其测量范围大、精度高及环境适应能力强等特点更适合在线检测的应用,但该方法目前还没有得到广泛的应用,根本原因在于对该系统的研究还存在一定的局限性。本文在对国内外锥光全息系统的理论研究和制约其在线应用的各种因素进行分析的基础上,提出提高系统抗干扰能力和测量分辨力的新方法,并建立具有通用性和灵活性的模块化操作系统,完成锥光全息测量系统的非线性校准,开发适应性强、能够在多种工业生产中应用的在线检测系统,而且对提高非接触式测量的水平具有很大的实际意义。
     详细分析了总体方案和各组成子系统方案,设计出适用于距离测量和三维形状测量的锥光全息系统,并搭建实验平台进行参数校正及样机调试。同时,结合几何光学、晶体光学及偏振光学等理论,深入分析锥光全息系统的不足,并提出解决办法。
     研究基于相位的系统测量方法,相比于全息图的光强易受光源波动和噪声干扰的问题,从全息图的相位中更易精确地提取被测信息,而且能充分反应锥光束在晶体中的传播特性。在此分析的基础上,推导锥光全息系统基于相位的测量表达式,相应降低光源波动影响。
     研究图像噪声处理技术,针对图像的方向性特征,在分析现有方向滤波方法的基础上,提出了改进的平均曲率扩散滤波方法,加快了算法的速度。通过对晶体光学传输模型和条纹检测技术的研究,采用条纹整数频率与小数相位同时提取的区域条纹扫描方法,并将条纹频率的像素级确定方法和相位的亚像素定位方法相结合,省去了不必要的处理和计算,在满足测量精度的基础上加快了测量速度。
     为确保大量程的前提下系统仍具有较高的测量精度,研究了提高锥光全息系统测量分辨力的方法,采用加大晶体转角和加入光学透镜的相位差放大法,在提高系统检测精度的同时,也降低了系统的标定难度。
     研究系统的传输特性和非线性校准技术,进行增量式测量和相对相位测量的理论分析,使得锥光全息系统实现增量式相对相位测量,避免了系统在大量程内绝对零位的难于定位问题。并结合遗传算法优化特性参数,采用神经网络技术实现对增量式测量的非线性校准,降低系统的非线性误差,同时也避免了求取特性函数逆向模型的困难。
     对于影响系统测量的各种因素进行分析,通过软件补偿光学元件引起的系统误差,并对引起激光器波长漂移和单轴晶体折射率变化的温度因素采取了结合PID技术的自适应调节方法,降低了测量系统对于环境温度的要求,从而提高了锥光全息系统的环境适应能力。
As a main subject in 3D measurement, Optical non-contact measurement can improve detection velocity, reduce loss and intensify adaptability to environment. Among all kinds of the optical non-contact measurement methods, Conoscopic Holography measurement is more suited to on-line detection because of its large measurement scope, high accuracy and adaptability to environment. But Conoscopic Holography measurement has not been applied in industry for its limitation on research theory. In this paper, theories about Conoscopic Holography method from foreign countries and factors restraining its on-line application have been analyzed, and new ways to improve antijamming ability and measurement resolution have been proposed. Modularization operation system with commonality and flexibility was built, and non-linear calibration for Conoscopic Holography system was performed. Research goal is developing strong adaptabilty and on-line detectin system in industry, which is important for optical non-contact measurement.
     After analysis on overall scheme and subsystem schemes, Conoscopic Holography measurement system adapted to measure distance and 3D shape was designed, and experiment flatform built was used to adjust parameters and debug prototype. At the same time, shortages of the Conoscopic Holography measurement system were analyzed and resolved based on theories about geometrical optics, crystal optics and polarization optics. Compared to the problems of light intensity on hologram, which is easy to be disturbed by light source fluctuation and noise, measured information can be obtained from phase of fringe on hologram easily. And this method also utilized translation charactor of conscopic light in the crystal fully. Based on these analysis, measurement expression based on phase of Conoscopic Holography measurement system was proposed, which reduces the system demand on stability of light source.
     Technology on noise suppression was researched. According to orientation characteristics of the fringe image, an improved MCD filter was proposed based on existing orientation filter ways, which accelerates the algorithm. From the crystal optics transmission model and research on fringe detection, the method of fringe scanning in a small area with integral frequency and decimal phase was used to obtain the measured information. So the two ways ware connected together. One is the method of testing fringe frequency which can recognize a pixel, and another is the method of testing fringe phase which can fix sub-pixel position. This also saved times on disposing and calculation, and accelerated measurement velocity without precision loss.
     To ensure Conoscopic Holography system’s high precision in large measurement range, two methods were adopted to enlarge phase difference. One is adding crystal phase of rotation and another is adding optical lens, which improves test precision of the system and reduces calibration difficulty. Research on transmition characteristic and non-linear calibration technology of the system, and theories of incremental measurement and relative phase measurement, which make the Conoscopic Holography measurement system realize incremental and relative phase measurement, which avoids difficulty in locating absolute zero point. It avoids joggle operation of image because of image’s area surpassing CCD image surface. Characteristic parameters of the system are optimized by genetic algorithm(GA). Artificial neural network(ANN) has been used to realize non-linear calibration of incremental measurement system, so non-linear error was eliminated and the difficulty of obtaining antitromic model was avoided.
     Analyze all the influence factors of measurement system, and compensate system error from optic elements. The method of self-adaption with PID was adopted to restrain temperature variation which can cause shifting of laser wavelength and variation of refracting index of the crystal. This way also reduces demands of the system to environment and improves environment adaptive ability of the Conoscopic Holography system.
引文
1李志新,黄曼慧,成思源.逆向工程技术及其应用.现代制造工程. 2007, (2):58~60
    2李忠学,彭启立,胡彩旗等.基于光学非接触测量的车身覆盖件曲面品质综合评价.工程图学学报. 2004, (2):21~26
    3 Nicola D'Apuzzo. Overview of 3D surface digitization technologies in Europe. SPIE of San Jose (CA), USA, 2006, 6056(2):42~54
    4 3D激光测量技术的发展及应用, http://baike. machine365. com/arts /070712/ /22/210922. html, 2007. 7
    5提高测量技术的重要性, http://www. mw35. com/article/apply/86653. html,2006. 6
    6测量技术的发展动向, http://www. gkong. com/html/news/2007/7/11047. html, 2007. 7
    7张蕴冬,浦军.光探针式表面形貌测量技术的研究.计量与测试技术. 2005, 32(7):4-5
    8 Huaiqiong Li. New sense-finding and subdividing technique for high speed moire fringes. SPIE of 2nd International Symp on Optical Manufac and Testing Tech, Xian China, 2006, 6150(1):37
    9 Guiying Li. Displacement quantity test and measurement system with the laser light triangle method. SPIE of inspection for industry:Theory, technology and applications, Bellingham, WA,1998, 3558:165
    10 Libo Yuan. Design of structured light by using three PM fibers for Moire interferometric profilometry. SPIE of Fundamental Problems of Optoelectronics and Microelectronics, Harbin, China, 2007, 6595: 49
    11 Joaquim Salvi. Pattern Codification Strategies in Structured Light Systems. Pattern Recognition, 2004, 37:827~849
    12黄强先.压电微音叉扫描探针显微镜测头研究.仪器仪表学报. 2007, 28(1):74~79
    13黄强先,高桥健,初泽毅.表面轮廓测定用扫描探针测头研究.仪器仪表学报. 2005, 41(8):213~217
    14吴浚瀚,杨德亮,吴浚泓等.开放式多功能扫描探针显微镜系统.现代科学仪器. 2003, (2):36~38
    15唐郭强,马晶波,李正佳等.激光扫描共焦显微镜图像的亮度补偿.激光杂志. 2006, 27(6):45~46
    16 Nabeel, A. Riza. Demonstration of three dimensional imaging of blood vessel using a no moving parts electronic lens based optical confocal microscope. SPIE of Physics of Medical Imaging, San Diego, CA, USA, 2007, 6510:65100J-1~65100J-5
    17 Y. J. Wei, Z. L. Dong, L. Miao, et al. Analysis of depth from defocus measurements for micro-imaging and 3D micro-visual reconstruction. , IEEE International Conference on Information Acquisition, Hong Kong, 2005, 6:326~331
    18 M. MINSKY, US Patent , No. 3013467, 1957
    19 T. Wilson, T. F. Watson. Real-time white light reflection confocal microscopy using a fibre-optic bundle. The Journal of Scanning Microscopies Scanning, 1997, (19):15~19
    20 C. J. R. Sheppard. Confocal imaging through weakly aberrating media, Appl Opt. 2000, (39):6366
    21郭全喜.激光三角测头的研究.哈尔滨工业大学硕士论文. 2006:2~6
    22杨春兰.基于差动像散技术的多功能光探针测量系统研究.哈尔滨工业大学博士论文. 2002:12~14
    23冯斌,王建华.表面形貌光学法测量技术.计量与测试技术. 2005, 32(6):4-6
    24周明宝,林大键,郭履容等.微结构表面形貌的测量.光学精密工程. 1999, 7(3):7~13
    25 Peter Lehmann. Systematic effects in coherence peak and phase evaluation of signals obtained with a vertical scanning white-light Mirau interferometer. SPIE of Optical Mirco and Naometrology in Microsystems Technology, Bellingham, 2006, 6188:11
    26 C. Quan. Study on the use of white light interferometry for multifiber-end surface profile measurement. Opt. Eng. . 2006, 45: 5603
    27 J. C. Wyant. Interferometric optical metrology:basic principles and new system. Laser Focus. 1982, 14(5):65~71
    28郭彤.基于显微干涉术的微机电系统动态测试方法与系统的研究.天津大学博士论文. 2004:24~26
    29许忠保等.基于微分相衬方法定量测量表面微观形貌.华中科技大学学报(自然科学版). 2004, 32(2): 64~66
    30郭磊,徐友春,李克强等.基于单目视觉的实时测距方法研究.中国图像图形学报. 2006, 11(1):74~281
    31王力超,熊超,王晨毅等.基于竞争机制的简化双目立体视觉测距算法及系统设计.传感技术学报. 2007, 20(1) :150~153
    32杜娜,许凌羽,尹江会.多目立体视觉坐标测量中拼接方法的研究.科技信息. 2007, (26):130~131
    33 http://world. keyence. com/
    34李永怀,冯其波.光学三维轮廓测量技术进展.激光与红外. 2005, 35(3): 143~147
    35 G. Y. Siratet, D. Psaltis. Conoscopic Holography. Opt. Lett. 1985, 10(1):4~6
    36 G. Y. Siratet. ConoProbe and ConoLine:two new 3 dimensiona1 measurement systems. SPIE of the International Society for Optical Engineering, USA, 2003, 4830:319~324
    37 J. M. Enguita. A long standoff profilometer for surface inspection in adverse environments based on Conoscopic holography. SPIE of Optical Measurement Systems for industrial Inspection, Bellingham, WA, 2005, 5856:481~490
    38 Point laser sensor conoprobe/line laser sensor conoline, http://www. optime- t. co. il/
    39 Alvarez. Dimensional Control of H Shaped Steel Beams with Conoscopic Holography Based Profilometers. NDTnet. 1998, 3(8):26~29
    40 E. Laso. OMEGA: Novel Optical Sensor 3D Measuring system for complex Geometry in Adverse environment. SPIE of Symposium on Electronic Imaging, Science & Technology, Spain, 1995, 2406:235~245
    41 Giuseppe, Schirripa. Determination of the sequence of line crossings by means of 3D laser profilometry. SPIE of the International Society for Optical Engineering, USA, 2005, 5954:1~12
    42 Ignacio. Towards on-line non-contact roughness profile measurements with a sensor based on Conoscopic holography:current developments. SPIE of Society of Photo-Optical Instrumentation Engineers, USA, 2006, 6382:1~12
    43 Ignacio, Alvarez. Conoscopic holography based profilometers for defect inspection: improvements in speed, resolution and noise reduction. Optical Sensing. 2006, 6189:1~16
    44陈华成等.集成多测量技术的自动检测系统.机械科学与技术. 2005, 24(5):578~580
    45高翔等.偏光干涉在物体几何形貌检测中的应用.光学学报. 2002, 22(4): 452~455
    46 Peter de Groot, Leslie Deck, James Soobitsky. Polarization interferometer for measuring the flying height of magnetic read write heads. Opt. Lett. 1996, 21(6) :441~443
    47 Totzeck M., Tiziani H. J. Phase-shifting polarization interferometry for microstructure linewidth measurement. Opt Lett. 1999, 24(5): 294~296
    48 G. Y. Sirat. Conoscopic holography: I. Basic principles and physical basis. Opt. Soc. 1992: 63~70
    49 G. Y. Sirat. Conoscopic holography: II. Rigorous derivation. Opt. Soc. 1992:84~90
    50 Laurent M., Mugnier, G. Y. Sirat. Reconstruction of a three-dimensional object from its conoscopic hologram. SPIE of Inverse Problems in Scattering and Imaging, France, 1992, 1767:287~298
    51 E. Lombardo, M. Martorelli. Non-Contact Roughness Measurement in Rapid Prototypes by Conoscopic Holography. XII ADM International Conference. 2001:B2-11~B2-18
    52 Z. Michalewicz. A modified genetic algorithm for optimal control problems. Comp. Math. Appl. 1992, 23(12) :83~94
    53 Srinivas M., Patnaik L. M.. Adaptive probabilities of crossover and mutation in genetic algorithms. IEEE Transactions on Systems, Man and Cybernetics, India, 1994, 24(4):656~666
    54 J. H. Holland. Genetic algorithms. Scientific American. 1992, 4(7) :44~50
    55周鸣争.基于遗传算法的曲线拟合及应用.安徽机电学院学报. 2000, 15(3):1~5
    56黄圣源,黄伟民.高中专物理学.高等教育出版社, 1996:220~223
    57胡耀志等.机电产品微细加工技术与工艺.广东科技出版社, 1993:223~225
    58高兴宇,萧泽新,伍世荣.基于OSLO的无限远像矩消色差显微物镜的设计.光学与光电技术. 2006, 4(4):4~7
    59秦德培.大学物理学第三分册(波动学).重庆大学出版社, 1996: 177~182
    60范宁,杨林华,史瑞良.半导体激光准直仪设计.航天器环境工程. 2006, 23(2):51~55
    61 L. S. Wang, B. Q. Xu, X. P. Wu. Laser Interference Beyond Coherence Length. Experimental Mechanics. 2007, 22(3):258~266
    62牛燕雄,汪岳峰,刘新等.激光束质量因子M2及其测量.激光技术. 1999, 23(1):38~41
    63孙长库,叶声华.激光测量技术.天津大学出版社, 2001:7~10
    64蒋立辉,李宁,成向阳等.基于一种新的同态滤波算法的散斑噪声压缩.激光与红外. 2000, 30(2):11~14
    65 J. Tang, Z. S. Wang. Suppressing the coherent speckle of SAR images with wavelet analysis. Journal of Electronics. 1998, (4):97~106
    66 Y. T. Li, Y. Zhou. Speckle reduction of SAR images using ICA basis enhancement and separation. Chinese optics letters. 2007, (10):509~512
    67 MURGUIA J. S., URIAS J.. On the wavelet formalism for multifractal analysis. Chaos. 2001, (4): 858~863
    68 MALLAT S.. Multifrequency channel decompositions of images and wavelet models. IEEE Transactions on Acoust, Speech and Signal Process,1989,37 (12):2091~2110
    69 Ko S. J., Lee Y. H.. Center weighted median filters and their applications to image enhancement. IEEE Transactions on Circuits and System, 1991, 38(9):984~993
    70 Gouchol Pok, JyhCharn Liu, AttoorSanju Nair. Selective removal of impulse noise based on homogeneity level information. IEEE Transactions on image processing, Switzerland, 2003, 12 (1):85~92
    71 Ko S. J., Lee Y. H.. Center weighted median filters and their applications to image enhancement. IEEE Transactions on Circuits System, 1991, 38(9):984~993
    72 Chang S. G., Yu B., Martin V.. Adaptive wavelet thresholding for image denoising and compression. IEEE Transactions on Image Processing, Canada, 2000, 9(9):1532~1546
    73 Lin S. P.. Separation of spiky transients in EEG/MEG using morphological filters in multi-resolution analysis. Pittsburgh. 2002:10~112
    74 Georges Matheron, Jean Serra. The birth of mathematical morphology. International Symposium on Mathematical Morphology, Australia, 2000, 6: 1~16
    75 ROBERTSOND G. E., DOWLING J. J.. Design and responses of butterworth and critically damped digital filters. Journal of Electromyography and Kinesiology. 2003, (13):569-573
    76 T. F. Gao, J. Zeng, H. F. Li, et al. A theorem on Butterworth matching for piezoelectric ceramic emission transducer. Chinese Journal of Acoustics. 2007, 26(4):289~300
    77 Yongjian Yu, Scott T. Acton. Speckle Reducing Anisotropic Diffusion. IEEE Transactions on Image Processing, China, 2002,11(11): 1260~1270
    78 D. T. Kuan, A. A. Sawchuk, P. Chavel, et al. Adaptive restoration of images with speckle. IEEE Trans on Acous, Speech and Sig Proc. 1987, 5:373~383
    79 V. S. Frost, J. A. Stiles, J. C. Holtzman, et al. A model for radar images and its application to adaptive digital filtering of multiplicative noise. IEEE Transactions on Pat and Anal, India, 1982, 4:157~166
    80 A. Lopes, E. Nezry, R. Touzi, et al. Structure detection and statistical adaptive speckle filtering in sar images. International Journal of Remote Sensing. 1993, 14:1735~1758,
    81 A. Lopes, R. Touzi, E. Nezry. Adaptive Speckle Filters and Scene Heterogeneity. IEEE Transactions on Geoscience and Remote Sensing, 1990, 28(6):992~1000
    82 R. Touzi. A protocol for speckle filtering of SAR images. Proceedings of Committee on Earth Observing Satellites, Toulouse, France, 2000, 450:225
    83蒋立辉,赵春晖,王骐.用非线性加权均值多方向形态滤波算法抑制散斑噪声.中国激光. 2004, 31(01):81~84
    84 Qifeng Yu, Xiangyi Sun, Xiaolin Liu. Spin filtering with curve windows for interferometric fringe patterns. Third International Conference on Experimental Mechanics, China, 2002, 4537:358~361
    85朱健翔,苏光大,李迎春.结合Gabor特征与Adaboost的人脸表情识别.光电子.激光. 2006, 17(8):993~998
    86 Torkamani, Azar F., Tait K. E.. Image recovery using the anisotropic diffusion equation. IEEE Transactions on Image Processing, Japan, 1996, 5(11):1573~1578,
    87 Jose M. Enguita, Yolanda Fernandez, Ignacio Alvarez, et al. Denoising of conoscopic holography fringe patterns with orientational filters: a comparative study, Optical Engineering. 2005, 44(3):035603
    88 Perona P., Malik J. Scale. Scale-space and edge detection using anisotropic diffusion. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1990, 12 (7):629~639
    89 Catt F., Lions P. L., Morel J. M., et al. Image selective smoothing and edge detection by nonlinear diffusion. SIAM J Numer Anal. 1992, 29(2) :182~193
    90 Adel I., Fallah E., Gary E. Ford. Mean Curvature Evolution and Surface Area Scaling in Image Filtering, IEEE Transactions on Image Processing. 1997, 6(5):396~407
    91 Adel I., Fallah E., Gary E. Ford. The evolution of mean curvature in image filtering, IEEE Transactions on Image Processing. 1994, 1: 298~302
    92 Mamadou S. Diallo, Doug T. Schmitt. Noise reduction in interferometric fringe patterns with mean curvature. Journal of Electronic Imaging diffusion. 2004, 13(4):819~831
    93 Fu Y., Williamson G. A., Clarkson P. M.. Adaptive algorithms for Gaussian noise environments:the order statistic least mean squares algorithms. IEEE Transactions on Signal Processing. 1994, 42(11):2945~2954
    94 Gelfand S. B., Wei Y., Krogmeie J. V.. The stability of variable step-size LMS algorithms. IEEE Transaction on Signal Processing. l999, 47(12): 3277~3288
    95谷源涛等.最优变步长最小均方模型和实现算法.清华大学学报(自然科学版). 2003, 43(1): 9~11
    96周昌雄,于盛林,祖克举.基于L-曲率流滤波器的图像降噪算法.光学精密工程. 2005, 13(6):759~765
    97 Zhang Fan, Koh Liang Mong. A Novel Multiscale Nonlinear Diffusion Method for Ultrasonic Speckle Reduction. International Symposium on Signal Processing and Information Technology. Rome, 2004, 4:34~37
    98 X. C. Chu, H. B. Lu, J. L. Cao. Research on direction recognizing and subdividing method for moiré(interference) fringes. Opt. Lett. 2003, 1(12) : 692~694
    99 X. Y. Su, J. Li, L. R. Guo. An improved Fourier transform profilometry. Proc. SPIE. 1988, 954: 241~244
    100 PRYPATNIEWICZ R. J.. Review of methods for automatic analysis of fringes in hologram interferometry. SPIE. 1986, 816:140~148
    101吕晓旭,钟丽云,黄守江等.基于傅立叶变化的单步相移三维物体面形测量的新方法. 2001, 22(5):40~42
    102 BRUNNING J. H.. Digital wavefront measuring interferometer for testing optical surfaces and lenses. Applied Optics. 1974, 13: 269322703
    103惠梅,王东生,邓年茂等.对移相误差不敏感的四帧相位算法.清华大学学报(自然科学版). 2003, 43(8):1017~1019
    104于起峰.光测条纹处理中免除噪声的正则化条纹法.实验力学. 1999, 14(3):294
    105 Chen F., Brown G. M., Song M.. Overview of three-dimensional shape measurement using optical methods . Opt. Eng. 2000, 39(1):10~22
    106王冰,职秦川,张仲选等.灰度图像质心快速算法.计算机辅助设计与图形学学报. 2004, 16(10):1360~1366
    107 Ye Jian, Fu GongKang, Upendra P. Poudel. High-accuracyedge detection with blurred edge model. Image andVision Computing. 2005, (23):453-467
    108于起峰,陆宏伟,刘肖琳.基于图像的精密测量与运动测量.科学出版社, 2002, 9:140~146
    109 Tabatabai A. J., Mitchell O. R.. Edge location to subpixel values in digital imagery. IEEE Trans. on Pattern Analysis and Machine Intelligence. 1984, 6(2):188~201
    110 Lyvers E. P., Mitchell O. R.. Subpixel measurements using a moment based edge operator. IEEE Trans. on Pattern Analysis and Machine Intelligence. 1989, 11(12):1293 ~1309
    111 Chong C. W., Raveendran P., Mukundan R.. A comparative analysis of algorithmsfor fast computation of zernike momentsJ. Pattern Recognition. 2003, 36(3):731 ~742
    112 Ghosa S., Rajiv M.. Orthogonal moment operators for subpixel edgedetection. Pattern Recognition. 1993, 26(2):295~306
    113赵鹏,王阿川,浦昭邦.基于多分辨率动态轮廓线的面积测量与跟踪方法.中国激光. 2006, 33(4):537~542
    114张小苗,刘肖琳,于起峰.一种基于空间对比度的光斑自动定位新方法.光电工程. 2007, 34(11):82~87
    115方家美,梁志毅,王体辉.基于图象亮度分布的环形干涉条纹判读法.光子学报. 2003, 32(9):1130~1132
    116 Cho Woo Jong, Kim Seung Woo. Stable Lateral Shearing Interferoeter for Production L ine Inspection of Lenses. Opt. Eng. 1997, 36 (3): 890~900
    117 W. C. Kuo, H. J. Huang, C. M. Lai, et al. Polarization-sensitive optical coherence tomography using only linearly polarized light. Optical and Quantum Electronics. 2005, 37:1213~1223
    118 Knighton Charles D, Estep Greg. Optimize thermoelectric cooler to improve system performance. Laser Focus World. 1995, (5):205~213
    119李建威,姚和军,韩建国等.半导体激光器的高精度温度控制优化设计.现代测量与实验室管理. 2006, (3):16~18
    120 Atmel Unveils. ATmega16M1, ATmega32M1 Microcontrollers for Motor Control, http://edageek. com/2008/02/27/automotive-avr-mcu/. 2008. 2
    121权伟,蔡淮,于小娟.基于Atmega16的多点温湿度测控系统设计.成都信息工程学院学报. 2007, 22(04):503~508
    122 Dauscher A., Lenoir B., Boffoue O.. Therm oelectric films prepared by pulsed laser deposition. SPIE. 2002, 4762: 52~63.
    123 Compact DWDM laser Temperature Control with the MAX8521, Application Note 3264: http://www. maxim-ic. com/an3264, 2004
    124 Jun Wang, Wei Tong, Lei Shi. The application of PID neural network decoupling control technology in the VAV air-conditioning system. Journal of Northwest University (Natural Science Edition). 2002, 32(3): 237-239
    125罗苏南,叶妙元,徐雁.光纤电压互感器稳定性的分析.中国电机工程学报. 2002, 20(12):15~19
    126李红霞.双折射晶体与偏光器件的温度特性.曲阜师范大学硕士论文. 2003:13~19
    127 Tian Sheping, Zhao Yang, Wei Hongyu, et al. Nonlinear correction of sensors based on neural network model. Optics and Precision Engineering.2006, 14(5):896~902
    128 Eysa Salajegheh, Saeed Gholizadeh. Optimum desigh of stuctures by an improved genetic algorithm using neural networks. Advances in Engineering Software. 2005, (36): 757~767
    129 W. McCulloch, W. Pitts. A logical calculus of the ideas immanent in nervous activity. Bull. Math. Bio Physics. 1943, (7):115~133
    130 Rumelhart D. E., Hinton G. E.. Learning internal representations by back-propagation error. Nature. 1986, 323(9) :533~536
    131 Hopfield J. J., Tank D. W.. Neural computation of decisionsin optimization problems. Biological Cybernetics. 1985, 52(3):141~152
    132白泰礼,邓铁刘.检测系统分辨力定量计算的研究.电子科技大学学报. 2007, 36(2):311~315

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