Neural processing set to boost sensor technology
| Autor: | Mike Goodwin |
|---|---|
| Rok vydání: | 1994 |
| Předmět: |
Artificial neural network
Time delay neural network Computer science business.industry Intelligent character recognition Machine learning computer.software_genre Industrial and Manufacturing Engineering Instruction set Set (abstract data type) Handwriting recognition Control system Key (cryptography) Artificial intelligence Electrical and Electronic Engineering business computer Computer hardware |
| Zdroj: | Sensor Review. 14:20-22 |
| ISSN: | 0260-2288 |
| Popis: | Outlines the background to neural computing and the learning abilities of neural networks. Describes the design and operation of the Neural Instruction Set Processor [NiSP], the world’s first dedicated neural computer on a single chip. The key task performed by the NiSP, which forms the basis of most of the current applications of neural computers, is recognising patterns. This makes it deal for applications such as speech, vision and handwriting recognition, biosensing to detecting intruders, and explosive and drug identification. Ends with an example of the use of NiSP in the production of an intelligent vehicle sensor unit to help create a more effective traffic control system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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