{"product_id":"elm-in-nonstationary-environment-von-yibin-ye-stefano-squartini-und-francesco-piazza","title":"ELM in nonstationary environment","description":"\u003cp\u003eSystem identification in nonstationary environment represents a challenging problem and an advaned neural architecture namely Time-Varying Neural Net- works (TV-NN) has shown remarkable identification properties in nonlinear and nonstationary conditions. Time-varying weights, each being a linear com- bination of a certain set of basis functions, are used in such kind of networks instead of stable ones, which inevitalbly increases the number of free parame- ters. Therefore, an Extreme Learning Machine (ELM) approach is developed to accelerate the training procedure for TV-NN. What is more, in order to ob- tain a more compact structure, or determine several important parameters, or update the network more efficiently in online case, several variants of ELM-TV are proposed and discussed in the book. Related computer simulations have been carried out and show the effectiveness of the algorithms.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783659248900\"\u003e\u003ch3\u003eExtreme Learning Machine and its variants for Time-Varying Neural Networks case study\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783659248900","offer_id":39467238621277,"sku":"9783659248900","price":49.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/af6701d2-5b1c-4d07-bd65-e1c23b75a547.jpg?v=1773380987","url":"https:\/\/shop.autorenwelt.de\/products\/elm-in-nonstationary-environment-von-yibin-ye-stefano-squartini-und-francesco-piazza","provider":"Autorenwelt Shop","version":"1.0","type":"link"}