NEUROCOMPUTER

NEUROCOMPUTER

Time sharing log input signals and weight data, which are inputted sequentially via analog signal buses, are subjected to sum/product operation. An analog neuron processor (ANP) outputs a signal to the analog signal buses through a non-linear circuit. The neutral network is controlled by reading req...

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Bibliographische Detailangaben
Hauptverfasser: TOSHIHARU MATSUDA, TAKASHI KAWASAKI, KATSUYA ISHIKAWA, HIDEKI YOSHIZAWA, KAZUO ASAKAWA, HIROMU IWAMOTO, YOSHIHIDE SUGIURA, HIDEKI KATO, HIROKI ICHIKI, HIROYUKI TSUZUKI, CHIKARA TSUCHIYA, HIDEICHI ENDO
Format: Patent
Sprache:eng
Schlagworte:
ANALOGUE COMPUTERS
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:Time sharing log input signals and weight data, which are inputted sequentially via analog signal buses, are subjected to sum/product operation. An analog neuron processor (ANP) outputs a signal to the analog signal buses through a non-linear circuit. The neutral network is controlled by reading required data from a control- pattern memory and required weight data from a weight memory under the control of a microsequencer, to obtain a practically operable neurocomputer. In this neurocomputer, a number of ANPs are connected by one analog bus. This enables the number of wires in the neutral network to be reduced greatly and the scale of the circuit to be minimised.