Optimized Echo State Network on the Basis of Mutual Information and Just-In-Time and its application
[1]Zhang Heng,Wang Heshan.Optimized Echo State Network on the Basis of Mutual Information and Just-In-Time and its application[J].Journal of Zhengzhou University (Engineering Science),2017,38(05):1-6.[doi:10.13705/j.issn.1671-6833.2017.05.018]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
38卷
Number of periods:
2017 05
Page number:
1-6
Column:
Public date:
2017-09-26
- Title:
- Optimized Echo State Network on the Basis of Mutual Information and Just-In-Time and its application
- Keywords:
-
echo state network; mutual information; Just-in-Time learning; optimization; model; penicillin fermentation
- CLC:
- -
- DOI:
- 10.13705/j.issn.1671-6833.2017.05.018
- Abstract:
- To improve the adaptability of echo state network (ESN),an optimization method based on mutual information (MI) and Just-In-Time (JIT) learning was proposed in this paper to optimize the input scaling and the output layer of ESN.The method was named as MI-JIT optimization method and the obtained new network was MI-JIT-ESN.The optimization method mainly consists of two parts.Firstly,the scaling parameters of multiple inputs were adjusted on the basis of MI between the network inputs and outputs.Secondly,based on JIT learning,a partial model of output layer was established.The new partial model could make the regression results more accurate.Further,a multi-input multi-output MI-JIT-ESN model was developed for the fed-batch penicillin fermentation process.The experimental results showed that the obtained MI-JIT-ESN model performed well,and that it had better adaptability than ESN model without optimization and other neural network models.
- References:
- -
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