Beyond expert systems: Learning programs in large-physics control systems
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Summary
This paper reviews learning systems and discusses several paradigms: rule-based induction, neural nets and genetic algorithms, as well as conventional knowledge acquisition, operations research, statistical analysis and closed feedback systems.
- Type
- article
- Published
- 1990-08-01
- Cited by
- 5
- References
- 4
- OpenAlex
- https://openalex.org/W2012750824
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:121180715
Keywords
Bottleneck, Computer science, Machine learning, Artificial intelligence, Variety (cybernetics)
References
Cited by
- An Intelligent Control Architecture for nin
- An Intelligent Control Architecture for Accelerator Beamline Tuning
- The KN-3000 particle accelerator control expert system (PACES)
- Framework for a general purpose, intelligent control system for particle accelerators
- RL4: a tool for knowledge-based induction
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