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| Publications [#60735] of Martin A. Brooke
search ieeexplore.ieee.org.Papers Published
- Liu, Jin and Brooke, Martin A. and Hirotsu, Kenichi, A CMOS feedforward neural-network chip with on-chip parallel learning for oscillation cancellation,
IEEE Transactions on Neural Networks, vol. 13 no. 5
(2002),
pp. 1178 - 1186 [TNN.2002.1031948]
(last updated on 2007/04/11)
Abstract: This paper presents a mixed signal CMOS feedforward neural-network chip with on-chip error-reduction hardware for real-time adaptation. The chip has compact on-chip weighs capable of high-speed parallel learning; the implemented learning algorithm is a genetic random search algorithm-the random weight change (RWC) algorithm. The algorithm does not require a known desired neural-network output for error calculation and is suitable for direct feedback control. With hardware experiments, we demonstrate that the RWC chip, as a direct feedback controller, successfully suppresses unstable oscillations modeling combustion engine instability in real time.
Keywords: Feedforward neural networks;CMOS integrated circuits;Learning systems;Parallel processing systems;Error correction;Feedback control;Computer hardware;FIR filters;Oscillations;Computer simulation;
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