Neural networks and dynamic complex systems
Annual Simulation Symposium（1989）
摘要
We describe the use of neural networks for optimization and inference associated with a variety of complex systems. We show how a string formalism can be used for parallel computer decomposition, message routing and sequential optimizing compilers. We extend these ideas to a general treatment of spatial assessment and distributed artificial intelligence.
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关键词
dynamic complex system,string formalism,spatial assessment,artificial intelligence,parallel computer decomposition,general treatment,neural network,complex system,message routing,sequential optimizing compiler,data fusion,computer network,finite element method,code generation,neural networks,image analysis,artificial neural networks,optimization problem,parallel processing,situation assessment,load balance,trajectory optimization,parallel computer,concurrent computing,routing,path integral,travelling salesman problem,artificial intelligent,chemical elements,computational modeling,optimizing compiler
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