{"product_id":"gene-expression-programming-mathematical-modeling-by-an-artificial-intelligence-9783540327967","title":"Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence","description":"\u003cp\u003e • Author(s): Candida Ferreira\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Applied\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eCândida Ferreira thoroughly describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. This monograph provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book also includes a self-contained introduction to this new exciting field of computational intelligence, including several new algorithms for decision tree induction, data mining, classifier systems, function finding, polynomial induction, times series prediction, evolution of linking functions, automatically defined functions, parameter optimization, logic synthesis, combinatorial optimization, and complete neural network induction. The book also discusses some important and controversial evolutionary topics that might be refreshing to both evolutionary computer scientists and biologists.\u003c\/p\u003e \u003cp\u003eThis second edition has been substantially revised and extended with five new chapters, including a new chapter describing two new algorithms for inducing decision trees with nominal and numeric\/mixed attributes.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eCândida Ferreira thoroughly describes the basic ideas of gene\u003c\/p\u003e \u003cp\u003eexpression programming (GEP) and numerous modifications to this\u003c\/p\u003e \u003cp\u003epowerful new algorithm. This monograph provides all the implementation\u003c\/p\u003e \u003cp\u003edetails of GEP so that anyone with elementary programming\u003c\/p\u003e \u003cp\u003eskills will be able to implement it themselves. The book also includes a\u003c\/p\u003e \u003cp\u003eself-contained introduction to this new exciting field of computational\u003c\/p\u003e \u003cp\u003eintelligence, including several new algorithms for decision tree\u003c\/p\u003e \u003cp\u003einduction, data mining, classifier systems, function finding, polynomial\u003c\/p\u003e \u003cp\u003einduction, times series prediction, evolution of linking functions, \u003c\/p\u003e \u003cp\u003eautomatically defined functions, parameter optimization, logic\u003c\/p\u003e \u003cp\u003esynthesis, combinatorial optimization, and complete neural network\u003c\/p\u003e \u003cp\u003einduction. The book also discusses some important and controversial\u003c\/p\u003e \u003cp\u003eevolutionary topics that might be refreshing to both evolutionary\u003c\/p\u003e \u003cp\u003ecomputer scientists and biologists. This second edition has been\u003c\/p\u003e \u003cp\u003esubstantially revised and extended with five new chapters, including\u003c\/p\u003e \u003cp\u003ea new chapter describing two new algorithms for inducing decision\u003c\/p\u003e \u003cp\u003etrees with nominal and numeric\/mixed attributes.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45273889767575,"sku":"9783540327967","price":11017.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783540327967.webp?v=1769237894","url":"https:\/\/atlanticbooks.com\/products\/gene-expression-programming-mathematical-modeling-by-an-artificial-intelligence-9783540327967","provider":"Atlantic Books","version":"1.0","type":"link"}