Paper Title:
New Evolutionary Neural Network Based on Continuous Ant Colony Optimization
  Abstract

The evolutionary neural network can be generated combining the evolutionary optimization algorithm and neural network. Based on analysis of shortcomings of previously proposed evolutionary neural networks, combining the continuous ant colony optimization proposed by author and BP neural network, a new evolutionary neural network whose architecture and connection weights evolve simultaneously is proposed. At last, through the typical XOR problem, the new evolutionary neural network is compared and analyzed with BP neural network and traditional evolutionary neural networks based on genetic algorithm and evolutionary programming. The computing results show that the precision and efficiency of the new neural network are all better.

  Info
Periodical
Edited by
Qi Luo
Pages
1773-1778
DOI
10.4028/www.scientific.net/AMM.58-60.1773
Citation
W. Gao, "New Evolutionary Neural Network Based on Continuous Ant Colony Optimization", Applied Mechanics and Materials, Vols. 58-60, pp. 1773-1778, 2011
Online since
June 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yu Yan Ren, Ming Sun, Jie Bao, Hong Rui Wang
Abstract:This study proposes a new method to search optimal parameters of BP networks based on improved ant colony algorithm. The algorithm proposed...
310
Authors: Yang Nan
Chapter 1: Mechatronics
Abstract:Ant colony optimization has been become a very useful method for combination optimization problems. Based on close connections between...
66
Authors: Wei Hua Zheng, Zong Hua Wang
Chapter 10: Reliability and Durability of Structures
Abstract:BP neural network detecting concrete defect, convergence is slower and accuracy is not high. In order to overcome the defect of BP algorithm,...
3201
Authors: Jia Tang Cheng, Li Ai, Shao Kun Xu
Chapter 10: Power Electronics and Power Drives
Abstract:In order to improve the accuracy of fault diagnosis of asynchronous motor, neural network model combined with ant colony algorithm is...
1625
Authors: Fang Ding, Dong Jian Huang
Chapter 10: Intelligence Algorithm, Optimization Algorithm and their Applications
Abstract:Aiming at the shortages of traditional PID controller, and problems of hardly setting the controller parameters, and the setting time is...
1377