Applications of Artificial Intelligence in Engineering VIGeorge Rzevski, R. A. Adey |
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Page 4
... variable can be expressed as a vector of dichotomous qualitative variables . We have seen that a variable y assuming K + 1 values can be represented by ε = ( 81 , ... , ƐK + 1 ) ' , where Ek = { 0 , 1 } indicates whether or not y ...
... variable can be expressed as a vector of dichotomous qualitative variables . We have seen that a variable y assuming K + 1 values can be represented by ε = ( 81 , ... , ƐK + 1 ) ' , where Ek = { 0 , 1 } indicates whether or not y ...
Page 72
... variables . sets were : 1. A11 22 variables . Thirteen soft variables . 2 . 3 . Twelve soft variables ( overall opinion of mode combination deleted ) . 4 . 5 . Nine hard variables . Best five variables from 22 - variable analysis ...
... variables . sets were : 1. A11 22 variables . Thirteen soft variables . 2 . 3 . Twelve soft variables ( overall opinion of mode combination deleted ) . 4 . 5 . Nine hard variables . Best five variables from 22 - variable analysis ...
Page 111
... variables if the reliability of the scale is low (Shevlin, Miles, & Bunting, 1997). Studies suggest that single item ... variables. SEM utilizes two basic types of variables: exogenous and endogenous. Exogenous variables are analogous to ...
... variables if the reliability of the scale is low (Shevlin, Miles, & Bunting, 1997). Studies suggest that single item ... variables. SEM utilizes two basic types of variables: exogenous and endogenous. Exogenous variables are analogous 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