Ren Luyong, Dong Chuandai, Yu Zhensheng. A MODULAR STRUCTURE BASED BP NEURAL NETWORK AND ITS APPLICATION[J]. Journal of Electronics & Information Technology, 1999, 21(6): 759-764.
Citation:
Ren Luyong, Dong Chuandai, Yu Zhensheng. A MODULAR STRUCTURE BASED BP NEURAL NETWORK AND ITS APPLICATION[J]. Journal of Electronics & Information Technology, 1999, 21(6): 759-764.
Ren Luyong, Dong Chuandai, Yu Zhensheng. A MODULAR STRUCTURE BASED BP NEURAL NETWORK AND ITS APPLICATION[J]. Journal of Electronics & Information Technology, 1999, 21(6): 759-764.
Citation:
Ren Luyong, Dong Chuandai, Yu Zhensheng. A MODULAR STRUCTURE BASED BP NEURAL NETWORK AND ITS APPLICATION[J]. Journal of Electronics & Information Technology, 1999, 21(6): 759-764.
This paper presents a hardware implementation approach for realizing simple BP (Backward Propagation) neural network. The full current-mode analog circuits are used to form neuron modules, and a simple BP network is build using basic modules. This network has the property of on-chip learning and on-chip weight storing, and it can be used for coding, decoding and two-dimensional image recognition. Simuiation results with PSPICE and high-level languages are given.
Bibyk S, et al. Current-mode neural network building blocks for analog MOS VLSI. IEEE ISCAS,[2]Helsinki: 1990, 3283-3285.[3]Mead C. Analog VLSI and Nearal Networks. Reading, Meassachusetts: Addison Wesley, 1989. [3] 庞维珍, 任鲁涌, 等. 在片学习及权值刷新神经网络硬件实现方法的研究. 天津大学学报. 1996, 29(6): 821-827.[4]Salam F, Choi M. An all-MOS analog feedforward neural circuit with learning. IEEE ISCAS, Helsinki: 1990, 2508-2511.
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