원문정보
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목차
Abstract
1.Introduction
2. The Principle of BP Neural Network
3. Improved Genetic Algorithm to Optimize BP Neural Network
3.1 Basic Genetic Algorithm
3.2. Chaos Algorithm and Reverse Learning
3.3 Difference Algorithm
3.4. The Choice of Fitness Function
3.5. Crossover Probability and Mutation Probability Selection
3.6. Algorithm Flow
4. Simulation Experiment
4.1 Comparison of Convergence Stability of Algorithms
4.2. Comparison of Equipment Fault Error
5.Conclusion
References
1.Introduction
2. The Principle of BP Neural Network
3. Improved Genetic Algorithm to Optimize BP Neural Network
3.1 Basic Genetic Algorithm
3.2. Chaos Algorithm and Reverse Learning
3.3 Difference Algorithm
3.4. The Choice of Fitness Function
3.5. Crossover Probability and Mutation Probability Selection
3.6. Algorithm Flow
4. Simulation Experiment
4.1 Comparison of Convergence Stability of Algorithms
4.2. Comparison of Equipment Fault Error
5.Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보