ANN weight optimization using Cat Swarm Optimization
版本 1.0.0.0 (7.8 KB) 作者:
Kalpesh Patil
This toolbox updates the weights of ANN using CSO method.
ANN weights optimization using CSO has better ability to reach global minima than gradient descent method. This package was developed to predict Sea Surface Temperature anomaly (SSTA) time series for specific lead times. Results of prediction of SSTA with CSO and gradient descent was compared and found that CSO gives 20 to 40% improvement in root mean square error.
引用格式
Kalpesh Patil (2024). ANN weight optimization using Cat Swarm Optimization (https://www.mathworks.com/matlabcentral/fileexchange/67211-ann-weight-optimization-using-cat-swarm-optimization), MATLAB Central File Exchange. 检索来源 .
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R2016a
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Start Hunting!版本 | 已发布 | 发行说明 | |
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1.0.0.0 |