Learning system in a neuron computer
US5142666A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Feb 28, 1990 |
| Grant date | Aug 25, 1992 |
| Priority date | — |
| Expiry date | Feb 28, 2010 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A learning system in a neuron computer includes a neural network for receiving an analog signal from a first analog bus through an analog input port in a time divisional manner and performing a sum-of-the-products operation, and outputting an analog output signal to a second analog bus. A control pattern memory stores a pattern of a signal for controlling the neural network. A sequencer produces an address of the control pattern memory and a weight memory. The weight memory stores weight data of the neural network. A digital control unit controls the neural network, control pattern memory, sequencer, and weight memory, and executes a learning algorithm. The learning system further includes an input control unit provided on the input side of the neural network for selecting an input signal for executing the learning algorithm input from the digital control unit or an analog input signal input from the analog input port.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.