Applications of Artificial Intelligence in Engineering VIGeorge Rzevski, R. A. Adey |
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Page 426
... Error / Weight space . That is , after each pattern has been presented , the resulting error on that pattern is computed , by comparing the actual output with the desired output , and each weight in the network modified by moving down the ...
... Error / Weight space . That is , after each pattern has been presented , the resulting error on that pattern is computed , by comparing the actual output with the desired output , and each weight in the network modified by moving down the ...
Page 805
... errors among the lines will cause correlation errors in x . In the lateral ( y ) direction , however , the obtained error is identical in size to the bias error . INTRODUCTION For autonomous moving systems , such as robots , Piecewise ...
... errors among the lines will cause correlation errors in x . In the lateral ( y ) direction , however , the obtained error is identical in size to the bias error . INTRODUCTION For autonomous moving systems , such as robots , Piecewise ...
Page 821
... error decreases when a larger number of lines for the correlation is used , and increases if the measurement error is increased . Table 3 verifies the effect of changing bmax on the estimation error as well : doubling bmax ( from 0.5 to ...
... error decreases when a larger number of lines for the correlation is used , and increases if the measurement error is increased . Table 3 verifies the effect of changing bmax on the estimation error as well : doubling bmax ( from 0.5 to ...
Contents
Preschematic Electronic Circuit Designer | 17 |
Expert Systems in Mechanical Engineering Design | 31 |
Numerical Methods in AIBased Design Systems | 45 |
Copyright | |
57 other sections not shown
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