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GA-ELM

于 2021-03-30 发布文件大小:10KB

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下载积分: 1 下载次数: 49

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遗传算法优化的极限学习机模型采用水仙花基本特征数据集效果比单纯的ELM模型要好(The effect of using daffodils basic feature data set in the extreme learning machine model optimized by genetic algorithm is better than that of ELM model only.)

文件列表：

GA-ELM_2 v2.0, 0 , 2016-05-12
GA-ELM_2 v2.0\callELMfun.m, 6400 , 2016-04-25
GA-ELM_2 v2.0\data.mat, 806 , 2016-04-25
GA-ELM_2 v2.0\ELMfun.m, 1421 , 2016-04-24
GA-ELM_2 v2.0\elmpredict.m, 1640 , 2016-04-09
GA-ELM_2 v2.0\elmtrain.m, 2506 , 2016-04-24
GA-ELM_2 v2.0\elmtrain2.m, 2395 , 2016-04-09
GA-ELM_2 v2.0\GAELMdata.mat, 1094 , 2016-04-24
GA-ELM_2 v2.0\GAELMMain.m, 2566 , 2016-04-26
GA-ELM_2 v2.0\Objfun.m, 447 , 2016-04-24

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matlablearn
matlab的教程，有简易版和详细版。较为浅显易懂，对于新手来说，能够较快的入门。(matlab tutorial, there are simple and detailed version version. Relatively easy to understand for the novice is able to fast entry.)

2007-12-19 23:19:45下载

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ABCNNTrain
Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

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GA-ELM

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