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10.1155/2018/3635845 http://scihub22266oqcxt.onion/10.1155/2018/3635845 C6036855!6036855!30046299     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Comput+Intell+Neurosci 2018 ; 2018 (ä): ä Nephropedia Template TP {{tp|p=30046299|t=2018. An Extreme Learning Machine Based on Artificial Immune System |pdf=|usr=}}{{30046299}} gab.com Text An Extreme Learning Machine Based on Artificial Immune System JO: Comput Intell Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=30046299 #FOAvip Extreme learning machine algorithm proposed in recent years has been widely used in many fields due to its fast training speed and good generalization performance. Unlike the traditional neural network, the ELM algorithm greatly improves the training speed by randomly generating the relevant parameters of the input layer and the hidden layer. However, due to the randomly generated parameters, some generated ?bad? parameters may be introduced to bring negative effect on the final generalization ability. To overcome such drawback, this paper combines the artificial immune system (AIS) with ELM, namely, AIS-ELM. With the help of AIS's global search and good convergence, the randomly generated parameters of ELM are optimized effectively and efficiently to achieve a better generalization performance. To evaluate the performance of AIS-ELM, this paper compares it with relevant algorithms on several benchmark datasets. The experimental results reveal that our proposed algorithm can always achieve superior performance. Twit Text FOAVip An Extreme Learning Machine Based on Artificial Immune System ????Comput Intell Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=30046299 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=30046299 #FOAvip English Wikipedia <ref>{{Cite pmid|30046299}}</ref> An Extreme Learning Machine Based on Artificial Immune System #MMPMID30046299 Tian Hy; Li Sj; Wu Tq; Yao M Comput Intell Neurosci 2018[]; 2018 (ä): ä PMID30046299show ga Extreme learning machine algorithm proposed in recent years has been widely used in many fields due to its fast training speed and good generalization performance. Unlike the traditional neural network, the ELM algorithm greatly improves the training speed by randomly generating the relevant parameters of the input layer and the hidden layer. However, due to the randomly generated parameters, some generated ?bad? parameters may be introduced to bring negative effect on the final generalization ability. To overcome such drawback, this paper combines the artificial immune system (AIS) with ELM, namely, AIS-ELM. With the help of AIS's global search and good convergence, the randomly generated parameters of ELM are optimized effectively and efficiently to achieve a better generalization performance. To evaluate the performance of AIS-ELM, this paper compares it with relevant algorithms on several benchmark datasets. The experimental results reveal that our proposed algorithm can always achieve superior performance. äAn Extreme Learning Machine Based on Artificial Immune System (epmc).pdf DeepDyve Pubget Overpricing