Training Analog VLSI Multi Layer Perceptron Networks with Continuous Time Back Propagation

G. M. Bo; Daniele D. Caviglia; Hussein Chiblè; Maurizio Valle

doi:10.1007/978-1-4471-1520-5_28

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Training Analog VLSI Multi Layer Perceptron Networks with Continuous Time Back Propagation

G. M. Bo Daniele D. Caviglia Hussein Chiblè Maurizio Valle

Year: 1998 Perspectives in neural computing Pages: 277-284

DOI: 10.1007/978-1-4471-1520-5_28

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Keywords:

Perceptron Computer science Very-large-scale integration Chip Implementation Layer (electronics) Multilayer perceptron Artificial intelligence Computer architecture Backpropagation Artificial neural network Training (meteorology) Computer engineering Electronic engineering Embedded system Engineering Telecommunications Materials science Software engineering

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Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Training Analog VLSI Multi Layer Perceptron Networks with Continuous Time Back Propagation

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