RESEARCH ON PERFORMANCE PREDICTION OF THIN SEAM SHEARER BY COMBINING GENETIC ALGORITHM WITH BP NEURAL NETWORK
Increase the loading capacity of coal is an important part in the development of thin seam shearer. Optimization method based on the combination of genetic algorithm（ GA） and BP neural network was proposed for the problems that traditional method can`t solve about the multi Factor impact shearer coa...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Strength
2018-01-01
|
| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.03.019 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841535439571255296 |
|---|---|
| author | ZHAO LiJuan JIN ZhongFeng |
| author_facet | ZHAO LiJuan JIN ZhongFeng |
| author_sort | ZHAO LiJuan |
| collection | DOAJ |
| description | Increase the loading capacity of coal is an important part in the development of thin seam shearer. Optimization method based on the combination of genetic algorithm（ GA） and BP neural network was proposed for the problems that traditional method can`t solve about the multi Factor impact shearer coal capacity. Established mathematical model of thin seam shearer,we use genetic algorithm to optimize the weighted values and threshold values of the BP neural network,using the simulation data for training and testing samples,and then use the BP algorithm to train the neural network,thus avoiding the local minimum values when the training is done with the BP neural network alone. The result shows that method not only speeding up the convergence speed but also improve the training accuracy,also obviously valuable for the performance prediction of thin seam shearer. |
| format | Article |
| id | doaj-art-459baa0035e547ad9c205dd0efb378af |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2018-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-459baa0035e547ad9c205dd0efb378af2025-01-15T02:32:13ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692018-01-014062062530602012RESEARCH ON PERFORMANCE PREDICTION OF THIN SEAM SHEARER BY COMBINING GENETIC ALGORITHM WITH BP NEURAL NETWORKZHAO LiJuanJIN ZhongFengIncrease the loading capacity of coal is an important part in the development of thin seam shearer. Optimization method based on the combination of genetic algorithm（ GA） and BP neural network was proposed for the problems that traditional method can`t solve about the multi Factor impact shearer coal capacity. Established mathematical model of thin seam shearer,we use genetic algorithm to optimize the weighted values and threshold values of the BP neural network,using the simulation data for training and testing samples,and then use the BP algorithm to train the neural network,thus avoiding the local minimum values when the training is done with the BP neural network alone. The result shows that method not only speeding up the convergence speed but also improve the training accuracy,also obviously valuable for the performance prediction of thin seam shearer.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.03.019Genetic algorithmBP neural networkLoading performancePrediction |
| spellingShingle | ZHAO LiJuan JIN ZhongFeng RESEARCH ON PERFORMANCE PREDICTION OF THIN SEAM SHEARER BY COMBINING GENETIC ALGORITHM WITH BP NEURAL NETWORK Jixie qiangdu Genetic algorithm BP neural network Loading performance Prediction |
| title | RESEARCH ON PERFORMANCE PREDICTION OF THIN SEAM SHEARER BY COMBINING GENETIC ALGORITHM WITH BP NEURAL NETWORK |
| title_full | RESEARCH ON PERFORMANCE PREDICTION OF THIN SEAM SHEARER BY COMBINING GENETIC ALGORITHM WITH BP NEURAL NETWORK |
| title_fullStr | RESEARCH ON PERFORMANCE PREDICTION OF THIN SEAM SHEARER BY COMBINING GENETIC ALGORITHM WITH BP NEURAL NETWORK |
| title_full_unstemmed | RESEARCH ON PERFORMANCE PREDICTION OF THIN SEAM SHEARER BY COMBINING GENETIC ALGORITHM WITH BP NEURAL NETWORK |
| title_short | RESEARCH ON PERFORMANCE PREDICTION OF THIN SEAM SHEARER BY COMBINING GENETIC ALGORITHM WITH BP NEURAL NETWORK |
| title_sort | research on performance prediction of thin seam shearer by combining genetic algorithm with bp neural network |
| topic | Genetic algorithm BP neural network Loading performance Prediction |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.03.019 |
| work_keys_str_mv | AT zhaolijuan researchonperformancepredictionofthinseamshearerbycombininggeneticalgorithmwithbpneuralnetwork AT jinzhongfeng researchonperformancepredictionofthinseamshearerbycombininggeneticalgorithmwithbpneuralnetwork |