Application and Study of BP Neural Network and Genetic Algorithm for Optimizational Parameters Based on MATLAB

Yu Hua Zhu; Dian Zheng Zhuang

doi:10.4028/www.scientific.net/AMM.325-326.1726

Paper Titles

Adaptive Subcarrier, Bit and Power Allocation Based on Hopfield Neural Network for Multiuser OFDM
p.1706

Build a Game Dynamical System through the Optimization of the Artificial Fish Swarm Algorithm
p.1712

Achieving Quick Trust Transmission in P2P Network Based on Matrix Operation
p.1717

A New Hybrid Algorithm Based on Artificial Fish Swarm Algorithm and Genetic Algorithm for VRP
p.1722

Application and Study of BP Neural Network and Genetic Algorithm for Optimizational Parameters Based on MATLAB
p.1726

Minimization of VM Placement Change in Energy-Aware Resource Provisioning for Cloud Data Center
p.1730

Research of Prewarning Pipe-Sticking Based on Neural Network
p.1734

Wireless Mesh Network Technical Security Performance Analysis
p.1738

An Efficient P2P Overlay Network Model Based on Clustering
p.1742

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 325-326Application and Study of BP Neural Network and...

Application and Study of BP Neural Network and Genetic Algorithm for Optimizational Parameters Based on MATLAB

Abstract:

BP neural network modeling is introduced using MATLAB neural network toolbox function, In order to find the non-linear mathematical model between data. And process parameters is optimized combination the neural network and genetic algorithm, The method has been applied to optimize parameters for nitric acid device, and proved to be highly importance, Programming with MATLAB is very brief and practicable to optimize parameters using neural network and genetic algorithm.