High-performance neural networks. [Neural computers]

Conference · Mon Jun 01 00:00:00 EDT 1987

OSTI ID:6456440

Dress, W B

The new Forth hardware architectures offer an intermediate solution to high-performance neural networks while the theory and programming details of neural networks for synthetic intelligence are developed. This approach has been used successfully to determine the parameters and run the resulting network for a synthetic insect consisting of a 200-node ''brain'' with 1760 interconnections. Both the insect's environment and its sensor input have thus far been simulated. However, the frequency-coded nature of the Browning network allows easy replacement of the simulated sensors by real-world counterparts.

• Research Organization: Oak Ridge National Lab., TN (USA)
• DOE Contract Number: AC05-84OR21400
• OSTI ID: 6456440
• Report Number(s): CONF-8706115-2; ON: DE87010591
• Resource Relation: Conference: Rochester FORTH conference, Rochester, NY, USA, 9 Jun 1987; Other Information: Portions of this document are illegible in microfiche products
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
59 BASIC BIOLOGICAL SCIENCES
BIOLOGICAL EVOLUTION
COMPUTERIZED SIMULATION
COMPUTERS
NERVOUS SYSTEM
APPLE COMPUTERS
ARTIFICIAL INTELLIGENCE
BRAIN
COMPUTER ARCHITECTURE
COMPUTER NETWORKS
GENETICS
LIFE CYCLE
LIFE SPAN
NEUROLOGY
BIOLOGY
BODY
CENTRAL NERVOUS SYSTEM
ELECTRONIC CIRCUITS
MEDICINE
MICROELECTRONIC CIRCUITS
MICROPROCESSORS
ORGANS
SIMULATION
990210* - Supercomputers- (1987-1989)
550400 - Genetics