{
"item_title" : "DNA Computing Based Genetic Algorithm",
"item_author" : [" Jili Tao", "Ridong Zhang", "Yong Zhu "],
"item_description" : "Introduction.- DNA computing based RNA-GA.- DNA double-helix based hybrid genetic algorithm.- DNA computing based multi-objective genetic algorithm.- Parameter identification and optimization for chemical process.- RBF neural network for nonlinear SISO system.- T-S Fuzzy neural network for nonlinear SISO system.- PCA & GA based ARX plus RBF Modeling for Nonlinear DPS.- GA based predictive control design.- MOGA based PID controller design.- Concluding Remarks.",
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DNA Computing Based Genetic Algorithm : Applications in Industrial Process Modeling and Control
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Overview
Introduction.- DNA computing based RNA-GA.- DNA double-helix based hybrid genetic algorithm.- DNA computing based multi-objective genetic algorithm.- Parameter identification and optimization for chemical process.- RBF neural network for nonlinear SISO system.- T-S Fuzzy neural network for nonlinear SISO system.- PCA & GA based ARX plus RBF Modeling for Nonlinear DPS.- GA based predictive control design.- MOGA based PID controller design.- Concluding Remarks.
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Details
- ISBN-13: 9789811554056
- ISBN-10: 9811554056
- Publisher: Springer
- Publish Date: July 2021
- Dimensions: 9.21 x 6.14 x 0.6 inches
- Shipping Weight: 0.89 pounds
- Page Count: 274
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