[1]TUO Shouheng.A modified teaching-learning-based optimization algorithm and application in neural networks[J].CAAI Transactions on Intelligent Systems,2013,8(4):327-332.[doi:10.3969/j.issn.1673-4785.201305026]
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A modified teaching-learning-based optimization algorithm and application in neural networks
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
8
Number of periods:
2013 4
Page number:
327-332
Column:
学术论文—机器学习
Public date:
2013-08-25
- Title:
- A modified teaching-learning-based optimization algorithm and application in neural networks
- Keywords:
- modified teaching-learning-based optimization algorithm; “selflearning” mechanism; neural network; function fitting; gearbox fault diagnosis
- CLC:
- TP31
- DOI:
- 10.3969/j.issn.1673-4785.201305026
- Abstract:
- In order to improve the output accuracy of back propagation neural network, a modified teaching-learning-based optimization (MTLBO) algorithm is proposed to train the weight and threshold value of neural network. In the MTLBO method, the “Teaching” phase and “Learning” phase were modified on the basis of TLBO algorithm, and a new “SelfLearning” mechanism was proposed to intensify global searching ability. Finally, the function fitting experiment and the tractor gearbox diagnosis experiment were used to test the performance of the proposed algorithm. Simulations show that this algorithm has a better convergence, prediction accuracy and robustness compared to the genetic algorithm (GA) and the basic teaching-learning-based optimization (TLBO) algorithm.
- References:
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Last Update:
2013-09-25