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- W960453653 abstract "Considering the indefinite character of the value of design parameters and being satisfied with load-bearing capacity and stiffness, the fuzzy optimization mathematical model is set up to minimize the volume of tooth corona of a worm gear in an elevator mechanism. The method of second-class comprehensive evaluation was used based on the optimal level cut set, thus the optimal level value of every fuzzy constraint can be attained; the fuzzy optimization is transformed into the usual optimization. The Fast Back Propagation of the neural networks algorithm are adopted to train feed-forward networks so as to fit a relative coefficient. Then the fitness function with penalty terms is built by a penalty strategy, a neural networks program is recalled, and solver functions of the Genetic Algorithm Toolbox of Matlab software are adopted to solve the optimization model." @default.
- W960453653 created "2016-06-24" @default.
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- W960453653 date "2005-01-01" @default.
- W960453653 modified "2023-10-01" @default.
- W960453653 title "Fuzzy Optimization of an Elevator Mechanism Applying the Genetic Algorithm and Neural Networks" @default.
- W960453653 hasPublicationYear "2005" @default.
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