Parallel interconnection and neural network systems employing semiconductor array technology and computer-generated holography

Barnes, Nigel; Healey, P.; McKee, Paul; O'Neill, Alan; Rejman-Greene, M.A.Z.; Scott, E.G.; Webb, R.P.; White, Brian R.; Wood, David

doi:10.1007/bf00619515

Opt Quant Electron

1992

DOI: 10.1007/bf00619515

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Parallel interconnection and neural network systems employing semiconductor array technology and computer-generated holography

Nigel Barnes

P. Healey

Paul McKee

et al.

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1995

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Performance of an optoelectronic neural network in the presence of noise

Webb

1995

Appl. Opt.

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Optoelectronic neural networks must not only be highly parallel but also fast to compete with electrical systems. Receiver noise becomes an important consideration at high data rates; so the limits set by noise to network size and speed are analyzed. A network incorporating an array of high-speed multi-quantum-well modulators was constructed. It employed a general method for optical representation of bipolar values, which required only a minimal increase in network dimensions and gave the network immunity to common-mode parameter variations. Different ways of partitioning pattern-recognition problems were compared, and the accuracy of one configuration was tested with the experimental network over a range of noise levels.

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Performance of an optoelectronic neural network in the presence of noise

Webb

1995

Appl. Opt.

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Parallel interconnection and neural network systems employing semiconductor array technology and computer-generated holography

Cited by 1 publication

References 16 publications

Performance of an optoelectronic neural network in the presence of noise

Performance of an optoelectronic neural network in the presence of noise

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