Analog VLSI and neural systems
Analog VLSI and neural systems
Introduction to the theory of neural computation
Introduction to the theory of neural computation
Analog VLSI signal processing: why, where, and how?
Journal of VLSI Signal Processing Systems - Joint special issue on Analog VLSI computation; also see Analog Integrated Circuits Signal Process., Vol. 6, No. 1
An experimental analog VLSI neural network with on-chip back-propagation learning
Analog Integrated Circuits and Signal Processing
An analog feed-forward neural network with on-chip learning
Analog Integrated Circuits and Signal Processing - Special issue: selected articles from the 1994 NORCHIP seminar
Advances in intelligent systems
Analog Integrated Circuits and Signal Processing - Special issue on Learning on Silicon
Array-based analog computation: principles, advantages and limitations
MICRONEURO '96 Proceedings of the 5th International Conference on Microelectronics for Neural Networks and Fuzzy Systems
An analog VLSI recurrent neural network learning a continuous-time trajectory
IEEE Transactions on Neural Networks
Tolerance to analog hardware of on-chip learning in backpropagation networks
IEEE Transactions on Neural Networks
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The analog VLSI implementation of an on-chip learning neural network is discussed in this paper. The Multi Layer Perceptron paradigm and Back Propagation learning rule have been mapped onto analog circuits. A local learning rate adaptation rule has been also considered to improve the training performance (i.e., fast convergence speed). Experimental results confirm the chip functionality and the soundness of our approach.