{"product_id":"9783030903459","title":"Springer Theses: An Evolutionary Computation Approach","description":"\u003ch1\u003eSpringer Theses: An Evolutionary Computation Approach\u003c\/h1\u003e \u003ch2\u003eKhandelwal, Dhruv\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book describes a user-friendly, evolutionary algorithms-based framework for estimating data-driven models for a wide class of dynamical systems, including linear and nonlinear ones. The methodology addresses the problem of automating the process of estimating data-driven models from a user’s perspective. By combining elementary building blocks, it learns the dynamic relations governing the system from data, giving model estimates with various trade-offs, e.g. between complexity and accuracy. The evaluation of the method on a set of academic, benchmark and real-word problems is reported in detail. Overall, the book offers a state-of-the-art review on the problem of nonlinear model estimation and automated model selection for dynamical systems, reporting on a significant scientific advance that will pave the way to increasing automation in system identification.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2023-02-04\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783030903459\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-030-90343-5\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 229\u003c\/p\u003e ","brand":"Springer International Publishing","offers":[{"title":"Default Title","offer_id":45582821785740,"sku":"9783030903459","price":152.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783030903459.jpg?v=1779568785","url":"https:\/\/lateknightbooks.com\/products\/9783030903459","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}