High-performance neural networks. [Neural computers]
Conference
·
OSTI ID:6456440
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
- Country of Publication:
- United States
- Language:
- English
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59 BASIC BIOLOGICAL SCIENCES
99 GENERAL AND MISCELLANEOUS
990210* -- Supercomputers-- (1987-1989)
APPLE COMPUTERS
ARTIFICIAL INTELLIGENCE
BIOLOGICAL EVOLUTION
BIOLOGY
BODY
BRAIN
CENTRAL NERVOUS SYSTEM
COMPUTER ARCHITECTURE
COMPUTER NETWORKS
COMPUTERIZED SIMULATION
COMPUTERS
ELECTRONIC CIRCUITS
GENETICS
LIFE CYCLE
LIFE SPAN
MEDICINE
MICROELECTRONIC CIRCUITS
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NERVOUS SYSTEM
NEUROLOGY
ORGANS
SIMULATION
59 BASIC BIOLOGICAL SCIENCES
99 GENERAL AND MISCELLANEOUS
990210* -- Supercomputers-- (1987-1989)
APPLE COMPUTERS
ARTIFICIAL INTELLIGENCE
BIOLOGICAL EVOLUTION
BIOLOGY
BODY
BRAIN
CENTRAL NERVOUS SYSTEM
COMPUTER ARCHITECTURE
COMPUTER NETWORKS
COMPUTERIZED SIMULATION
COMPUTERS
ELECTRONIC CIRCUITS
GENETICS
LIFE CYCLE
LIFE SPAN
MEDICINE
MICROELECTRONIC CIRCUITS
MICROPROCESSORS
NERVOUS SYSTEM
NEUROLOGY
ORGANS
SIMULATION