| Vorliegende Sprache |
eng |
| Hinweise auf parallele Ausgaben |
350122210 Buchausg. u.d.T.: ‡Grosan, Crina: Intelligent systems |
| ISBN |
978-3-642-21003-7 |
| Name |
Grosan, Crina |
| Abraham, Ajith |
| ANZEIGE DER KETTE |
Abraham, Ajith |
| T I T E L |
Intelligent Systems |
| Zusatz zum Titel |
A Modern Approach |
| Verlagsort |
Berlin, Heidelberg |
| Verlag |
Springer-Verlag Berlin Heidelberg |
| Erscheinungsjahr |
2011 |
| 2011 |
| Umfang |
Online-Ressource (XIV, 450p. 218 illus, digital) |
| Reihe |
Intelligent Systems Reference Library ; 17 |
| Notiz / Fußnoten |
Includes bibliographical references |
| Weiterer Inhalt |
Title; Preface; Contents; Evolution of Modern Computational Intelligence; Introduction; Roots of Artificial Intelligence; Modern Artificial Intelligence; Metamodern AI; Problem Solving by Search; Introduction; What Is Search?; Tree Based Search; Graph Search; Search Methods Classification; Uninformed Search Methods; Performance Evaluation of the Uninformed Search Strategies; References; Informed (Heuristic) Search; Introduction; Heuristics; Best First Search; Greedy Search; A* Search; Comparisons and Remarks; A* Variants; References; Iterative Search; Introduction; Hill Climbing. Simulated AnnealingTabu Search; Means Ends; Summary; References; Adversarial Search; Introduction; MIN-MAX Algorithm; Alpha-beta Pruning; Comparisons and Discussions; References; Knowledge Representation and Reasoning; Introduction; Propositional Logic; First Order Predicate Logic (FOPL); Resolution in Propositional Logic and FOPL; References; Rule-Based Expert Systems; Introduction; Elements of a Rule-Based System; Structure of a Rule-Based Expert System; Types of Rule-Based Expert Systems; Conflict Resolution; Benefits and Capabilities of Rule Based Expert Systems; Types of Expert Systems. Examples of Expert SystemsReferences; Managing Uncertainty in Rule Based Expert Systems; What Is Uncertainty and How to Deal With It?; Bayesian Theory; Certainty Factors; References; Fuzzy Expert Systems; Introduction; Fuzzy Sets; Fuzzy Rules; Fuzzy Inference; References; Machine Learning; Introduction; Terminology; Learning Steps; Learning Systems Classification; References; Decision Trees; Introduction; Building a Decision Tree; Overfitting in Decision Trees; Decision Trees Variants; References; Artificial Neural Networks; Introduction. Similarities between Biological and Artificial Neural NetworksNeural Networks Types; The Perceptron; Multi-layer Perceptron; References; Advanced Artificial Neural Networks; Introduction; Jordan Network; Elman Network; Hopfield Network; Self Organizing Networks; Neocognitron; Application of Neural Networks; References; Evolutionary Algorithms; Introduction; How to Build an Evolutionary Algorithm?; Genetic Algorithms; References; Evolutionary Metaheuristics; Introduction; Representation; Mutation; Recombination; Controlling the Evolution: Survival Selection; Evolutionary Programming. Genetic ProgrammingReferences; Swarm Intelligence; Introduction; Particle Swarm Optimization; Ant Colonies Optimization; References; Hybrid Intelligent Systems; Introduction; Models of Hybrid Computational Intelligence Architectures; Integrated Intelligent System; Evolutionary Fuzzy Systems; Evolutionary Neural Networks (EANN); Hybrid Evolutionary Algorithms; References; |
| Titelhinweis |
Buchausg. u.d.T.: ‡Grosan, Crina: Intelligent systems |
| ISBN |
ISBN 978-3-642-21004-4 |
| Klassifikation |
UYQ |
| COM004000 |
| *68-01 |
| 68T01 |
| 68T20 |
| 68T05 |
| 68T35 |
| 68T37 |
| 006.3 |
| Q342 |
| ST 300 |
| Kurzbeschreibung |
Ajith Abraham |
| 2. Kurzbeschreibung |
Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. The current experimental systems have many of the characteristics of biological computers (brains in other words) and are beginning to be built to perform a variety of tasks that are difficult or impossible to do with conventional computers. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. This book comprising of |
| 1. Schlagwortkette |
Soft Computing |
| Verteilte künstliche Intelligenz |
| Problemlösen |
| Entscheidungsunterstützungssystem |
| Lernendes System |
| Expertensystem |
| Produktionsregelsystem |
| Suchverfahren |
| 1. Schlagwortkette ANZEIGE DER KETTE |
Soft Computing -- Verteilte künstliche Intelligenz -- Problemlösen -- Entscheidungsunterstützungssystem -- Lernendes System -- Expertensystem -- Produktionsregelsystem -- Suchverfahren |
| 2. Schlagwortkette |
Soft Computing |
| Verteilte künstliche Intelligenz |
| Problemlösen |
| Entscheidungsunterstützungssystem |
| Lernendes System |
| Expertensystem |
| Produktionsregelsystem |
| Suchverfahren |
| ANZEIGE DER KETTE |
Soft Computing -- Verteilte künstliche Intelligenz -- Problemlösen -- Entscheidungsunterstützungssystem -- Lernendes System -- Expertensystem -- Produktionsregelsystem -- Suchverfahren |
| SWB-Titel-Idn |
348702051 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/978-3-642-21004-4 |
| Internetseite / Link |
Volltext |
| Siehe auch |
Volltext |
| Siehe auch |
Cover |
| Siehe auch |
Inhaltstext |
