神经网络在生鲜农产品供应链管理中的研究进展
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摘要
可靠、高效的供应链运作和管理对保障生鲜农产品品质具有重要意义,神经网络技术在生鲜农产品供应链管理中因具有独特的优势而得到广泛应用。本文阐述了生鲜农产品供应链的特点和神经网络技术的优势,系统综述了神经网络技术在生鲜农产品供应链管理领域的代表性研究方法及研究成果,并针对神经网络和供应链管理的发展需求,指出生鲜农产品绿色供应链和可持续供应链将是未来发展的必然趋势,神经网络技术将向神经网络优化、组合网络模型、深度学习的方向发展。
Fresh agricultural products are the necessities of people's life. Reliable and efficient supply chain operation and management are of great significance to guarantee the quality of fresh agricultural products,and neural network technology has been widely used in many aspects of supply chain management of fresh agricultural products with its unique advantages. Based on the recognition of neural network technology 's advantages in the fresh agricultural products ' supply chain management,the current research about neural network technology application in the field of fresh agricultural products supply chain management was systematically reviewed. It was found that neural network was mainly applied to the risk evaluation and prediction,performance evaluation,quality monitoring and control,shelf life prediction and supply chain traceability,etc. Furthermore,aiming at the demand for the future development of neural network and supply chain management,the research trend in this domain was proposed. Firstly,the level of green and sustainable development would be posed more importance in supply chain management of fresh agricultural products. Secondly,neural network would be developed in the direction of neural network optimization,combined network model and deep learning.
Fresh agricultural products are the necessities of people's life. Reliable and efficient supply chain operation and management are of great significance to guarantee the quality of fresh agricultural products,and neural network technology has been widely used in many aspects of supply chain management of fresh agricultural products with its unique advantages. Based on the recognition of neural network technology 's advantages in the fresh agricultural products ' supply chain management,the current research about neural network technology application in the field of fresh agricultural products supply chain management was systematically reviewed. It was found that neural network was mainly applied to the risk evaluation and prediction,performance evaluation,quality monitoring and control,shelf life prediction and supply chain traceability,etc. Furthermore,aiming at the demand for the future development of neural network and supply chain management,the research trend in this domain was proposed. Firstly,the level of green and sustainable development would be posed more importance in supply chain management of fresh agricultural products. Secondly,neural network would be developed in the direction of neural network optimization,combined network model and deep learning.
引文
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