Applications of Artificial Intelligence in Engineering VIGeorge Rzevski, R. A. Adey |
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Page 322
... stage , knowledge and data base are updated . Then the system is considered as method - adapted ; - further the stage of problem adaptation follows . At this stage the method - adapted system initiates the dialogue with the experimenter ...
... stage , knowledge and data base are updated . Then the system is considered as method - adapted ; - further the stage of problem adaptation follows . At this stage the method - adapted system initiates the dialogue with the experimenter ...
Page 323
... stage the statistician trains the system , introducing his own SA and ED concepts in the form of logical models and specific knowledge of implimenta- tion methods . At the problem adaptation stage the initiator activates the dialogue ...
... stage the statistician trains the system , introducing his own SA and ED concepts in the form of logical models and specific knowledge of implimenta- tion methods . At the problem adaptation stage the initiator activates the dialogue ...
Page 775
... stage ) and the multiplicand bit ( a0 to a4 which are used by all the stages at different time intervals ) . The other input to each adder is the partial product sum y , generated by the previous stage adder ( except the first stage ) ...
... stage ) and the multiplicand bit ( a0 to a4 which are used by all the stages at different time intervals ) . The other input to each adder is the partial product sum y , generated by the previous stage adder ( except the first stage ) ...
Contents
Preschematic Electronic Circuit Designer | 17 |
Expert Systems in Mechanical Engineering Design | 31 |
Numerical Methods in AIBased Design Systems | 45 |
Copyright | |
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Other editions - View all
Applications of Artificial Intelligence in Engineering VI George Rzevski,R.A. Adey Limited preview - 2012 |
Applications of Artificial Intelligence in Engineering VI George Rzevski,R.A. Adey No preview available - 1991 |
Applications of Artificial Intelligence in Engineering VI George Rzevski,R.A. Adey No preview available - 2011 |
Common terms and phrases
activity agents allocation ambient field analysis application approach architecture Artificial Intelligence asphalt concrete assignment automated basic block circuit complex components concept condition configuration conflict constraints construction cost database decision defined dependent described design process diagnosis domain electromagnetic electronic environment evaluation example expert system expertise fault Figure FMEA function genetic algorithms geological geometry global frequency goal heuristic hierarchical implemented incidence matrix inference engine input integrated interaction knowledge based system knowledge engineering knowledge representation knowledge-based logic machining manufacturing matrix mechanism method module neural network node object Object-Oriented Programming operation optimization output parameters pavement performance Petri net planning possible prediction problem procedure production Prolog PROLOG III propagation PROSPEX prototype represent representation resource rules scheduling simulation solution solve specific strategy structure task techniques tool topology user interface values variables welding