A CMOS Feedforward Neural-Network Chip With On-Chip Parallel Learning for Oscillation Cancellation  

Oleh:

Liu, J. ; Hirotsu, K. ; Brooke, M. A.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 13 no. 5 (2002), page 1178-1186.
Topik: OSCILLATION; CMOS; neural - network; chip; parallel learning; oscillation cancellation

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.7A Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

The 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.

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