Neurocontrol: A literature survey

DOI10.1016/0895-7177(95)00221-9zbMath0960.68636OpenAlexW2059684734MaRDI QIDQ1910769

R. D. Weil, S. N. Balakrishnan

Publication date: 15 July 1996

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0895-7177(95)00221-9

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Control/observation systems involving computers (process control, etc.) (93C83)

Related Items (1)

An introduction to the use of neural networks in control systems

Cites Work

• Self-organization and associative memory.
• Adaptive pattern classification and universal recoding. I: Parallel development and coding of neural feature detectors
• Adaptive pattern classification and universal recoding. II: Feedback, expectation, olfaction, illusions
• Static and dynamic stabilizing neural controllers, applicable to transition between equilibrium points
• Multilayer feedforward networks are universal approximators
• A massively parallel architecture for a self-organizing neural pattern recognition machine
• Data Storage in the Cerebellar Model Articulation Controller (CMAC)
• A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)
• Punish/Reward: Learning with a Critic in Adaptive Threshold Systems
• Neural networks and physical systems with emergent collective computational abilities.
• Neurons with graded response have collective computational properties like those of two-state neurons.
• A logical calculus of the ideas immanent in nervous activity
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