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A Generic Tool for Distributed AI with Matching as Message Passing
Neural Network Applications
Using the Particle Swarm Optimization Technique to Train
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Abstract abstract machine adaptive agent applications approach approximation architecture Artificial Intelligence associated attributes binary classification clause clusters CoMeMo complexity components Computer constraint constraint logic programs convergence cost crossover data mining database default logic defined developed domain encoding Engineering environment evaluated example execution experiments expert systems Figure fitness function function fuzzy fuzzy set Genetic Algorithms global goal graph heuristic IEEE implementation inference initial input integration interface Internet know-how knowledge knowledge representation language laser learning logic programming Machine Learning matching memoization method neural network nodes object operators optimization output parameters performance problem Proc procedure proposed R+-tree reasoning region relations represent representation rules selection sequence server SGML simulation solution solve space spatial specific strategy structure Table techniques theory tion tool tree values variables vector Voronoi diagram W-ACE weights