New evolutionary neural networks

The evolutionary neural network can be generated combining the evolutionary computation and neural network. Based on analysis of merits and demerits of previously proposed evolutionary neural network models, combining the immunized evolutionary programming proposed by author and BP neural network, a new evolutionary neural network model whose architecture and connection weights evolve simultaneously is proposed. At last, through the typical XOR problem, the new model is compared and analyzed with BP neural network and traditional evolutionary neural network. The computing results show that the precision and efficiency of the new model are all good.

[1]  Fang Liu,et al.  Designing neural networks ensembles based on the evolutionary programming , 2003, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).

[2]  Alexei N. Skourikhine,et al.  An Evolutionary Algorithm for Designing Feedforward Neural Networks , 1998, Evolutionary Programming.

[3]  Hiroshi Nagahashi,et al.  Designing adaptive neural network architectures and their learning parameters using genetic algorithms , 1993, Defense, Security, and Sensing.

[4]  Shumeet Baluja,et al.  Evolution of an artificial neural network based autonomous land vehicle controller , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[5]  Xin Yao,et al.  Evolutionary Artificial Neural Networks , 1993, Int. J. Neural Syst..

[6]  Xin Yao,et al.  A new evolutionary system for evolving artificial neural networks , 1997, IEEE Trans. Neural Networks.

[7]  Fang Jian,et al.  Neural network design based on evolutionary programming , 1997 .

[8]  Vittorio Maniezzo,et al.  Genetic evolution of the topology and weight distribution of neural networks , 1994, IEEE Trans. Neural Networks.

[9]  Jeong-Sun Park.  Designing Neural Network Using Genetic Algorithm , 1997 .

[10]  Donald E. Waagen,et al.  Evolving recurrent perceptrons for time-series modeling , 1994, IEEE Trans. Neural Networks.

[11]  Peter J. Angeline,et al.  An evolutionary algorithm that constructs recurrent neural networks , 1994, IEEE Trans. Neural Networks.

[12]  Xin Yao,et al.  A review of evolutionary artificial neural networks , 1993, Int. J. Intell. Syst..

[13]  Heinz Mühlenbein,et al.  Limitations of multi-layer perceptron networks-steps towards genetic neural networks , 1990, Parallel Comput..