A New DNA Based GA for Modeling a pH Neutralization Process with Fuzzy Neural Network
Abstrak
In this paper, a new DNA based genetic algorithm is proposed to optimize a fuzzy neural network model for a pH neutralization process. In the proposed algorithm, each individual presents a fuzzy neural network encoded by nucleotide base sequence, and modified DNA based crossover operation and three types of mutation operators are designed to improve the searching ability of the algorithm. The study on the performance for two functions shows that the proposed algorithm outperforms GA. Finally, to verify the effectiveness of the established model, it is compared with two models optimized with other methods. Comparison results show that the model optimized by DNA based GA is more accurate.
Penulis (1)
Xiao Chen
Akses Cepat
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- 2014
- Bahasa
- en
- Sumber Database
- CrossRef
- DOI
- 10.4028/www.scientific.net/amr.898.822
- Akses
- Open Access ✓