Applications of Artificial Intelligence in Engineering VIGeorge Rzevski, R. A. Adey |
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Page 332
... determined either from relevant diagrams or by utilised experience . As described above , it is evident that the process of determining the preheat temperature involves a large number of parameters . In order to determine the preheat ...
... determined either from relevant diagrams or by utilised experience . As described above , it is evident that the process of determining the preheat temperature involves a large number of parameters . In order to determine the preheat ...
Page 484
... determine that the control output is gradually decreasing . It is then able to look at the valve position over the last two minutes and determine by how much it has decreased . If the valve position has not decreased significantly after ...
... determine that the control output is gradually decreasing . It is then able to look at the valve position over the last two minutes and determine by how much it has decreased . If the valve position has not decreased significantly after ...
Page 904
... determine the mapping . Simple feedforward networks can be trained using the backpropagation learning algorithm [ 15 ] to determine network weights . However , such supervised learning algorithms require knowledge of the desired state ...
... determine the mapping . Simple feedforward networks can be trained using the backpropagation learning algorithm [ 15 ] to determine network weights . However , such supervised learning algorithms require knowledge of the desired state ...
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