Proceedings of the IASTED International Conference: Artificial Intelligence, Expert Systems and Neural Networks, August 19-21, 1996 Honolulu, HawaiiM. H. Hamza |
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Page 43
... selected . Transmission activate the Chinese characteristic network . It have two principles : To " or " selection , we can choose this or that grammar transmission according to condition ; To " and " selection , we can choose one of ...
... selected . Transmission activate the Chinese characteristic network . It have two principles : To " or " selection , we can choose this or that grammar transmission according to condition ; To " and " selection , we can choose one of ...
Page 294
... selected randomly . Then two blocks in the parents , which are determined by P1 and P2 are exchanged . As a result , two offsprings are generated . 5.2 Mutation Three mutation operators are used . A local area - weighted mutation , a ...
... selected randomly . Then two blocks in the parents , which are determined by P1 and P2 are exchanged . As a result , two offsprings are generated . 5.2 Mutation Three mutation operators are used . A local area - weighted mutation , a ...
Page 400
... selected processors , to the extent of the time and processing speed allocation that each computer offers for load sharing , in order to minimize job completion time . An efficient algorithm for determining the optimal processor selection ...
... selected processors , to the extent of the time and processing speed allocation that each computer offers for load sharing , in order to minimize job completion time . An efficient algorithm for determining the optimal processor selection ...
Contents
Multiparadigm Neural Network Models for Automa | 1 |
Synthesis of a Planar 4Bar Mechanism using | 7 |
Function | 70 |
25 other sections not shown
Common terms and phrases
agent analysis application approach architecture Artificial Neural Networks attributes back-propagation cell classification complex components concepts Conference Artificial Intelligence Connectionism connectionist constraints database defined developed domain dynamic Engineering environment error evaluation example Expert Systems Figure forecasting function fuzzy logic genetic algorithm graph Hangul Honolulu IASTED International Conference IEEE implemented initial input instance-based learning integration interface International Conference Artificial knowledge base knowledge representation layer learning algorithm linear machine meta-model method methodology module multi-valued logic mutation Networks August 19-21 Neural Networks August neurons node nonlinear object operation optimal output paper parameters performance pixel prediction problem procedure processor proposed recognition reconstruction relevant logics represent rules scheduling selected signal simulated annealing simulation SIMULINK solution specific step structure SuperBook Table task techniques tion tool training set vector weights