A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks
暂无分享,去创建一个
Ron Meir | Joshua Alspector | Ben P. Yuhas | Anthony Jayakumar | D. Lippe | J. Alspector | A. Jayakumar | R. Meir | B. Yuhas | D. Lippe
[1] Harold J. Kushner,et al. wchastic. approximation methods for constrained and unconstrained systems , 1978 .
[2] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[3] B. Hochet,et al. Multivalued MOS memory for variable-synapse neural networks , 1989 .
[4] Bernard Widrow,et al. 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation , 1990, Proc. IEEE.
[5] Thomas Kailath,et al. Model-free distributed learning , 1990, IEEE Trans. Neural Networks.
[6] Marwan A. Jabri,et al. Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer Networks , 1991, Neural Computation.
[7] Stuart Haber,et al. A VLSI-efficient technique for generating multiple uncorrelated noise sources and its application to stochastic neural networks , 1991 .
[8] Marwan A. Jabri,et al. Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer Networks , 1991, Neural Comput..
[9] Joshua Alspector,et al. Experimental Evaluation of Learning in a Neural Microsystem , 1991, NIPS.
[10] Kurt W. Fleischer,et al. Analog VLSI Implementation of Gradient Descent , 1992, NIPS.
[11] Gert Cauwenberghs,et al. A Fast Stochastic Error-Descent Algorithm for Supervised Learning and Optimization , 1992, NIPS.
[12] Marwan A. Jabri,et al. Summed Weight Neuron Perturbation: An O(N) Improvement Over Weight Perturbation , 1992, NIPS.
[13] Santosh S. Venkatesh,et al. Directed Drift: A New Linear Threshold Algorithm for Learning Binary Weights On-Line , 1993, J. Comput. Syst. Sci..