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纸质出版:1996
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孙晓楠 孙晓松. 液压逻辑阀系统的神经网络控制技术[J]. 土木与环境工程学报(中英文), 1996,18(1):66-70.
THE NEURAL NETWORK CONROL TECHNOLOGY USED IN HYDRAULIC LOGIC VALVE SYSTEM[J]. Journal of Civil and Environmental Engineering, 1996, 18(1): 66-70.
孙晓楠 孙晓松. 液压逻辑阀系统的神经网络控制技术[J]. 土木与环境工程学报(中英文), 1996,18(1):66-70. DOI: 10.11835/j.issn.1674-4764.1996.01.009.
THE NEURAL NETWORK CONROL TECHNOLOGY USED IN HYDRAULIC LOGIC VALVE SYSTEM[J]. Journal of Civil and Environmental Engineering, 1996, 18(1): 66-70. DOI: 10.11835/j.issn.1674-4764.1996.01.009.
介绍基于人工神经网络的液压逻辑阀控制技术及液压逻辑阀控制网络的特点与结构。分析了人工神经网络的主要特点和拓扑结构。重点是研究用于处理逻辑阀的前馈网络,对其训练算法进行了推导与改进。并通过改进型BP算法,对此进行训练,取得了满意的实验结果。
This paper is concerned with artifical neural network used in hydrauic logic valve control technique
the characters and structure of hydraulic logic valve
the main characters and topological construction of artifical neural network are analyzed in detail. The pre-feedback used in logic valve. is focused
the training method was derived and improved. Using this improved BP training method
the net work was trained and satisfactory experiment results were gained.
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