New Learning Paradigms in Soft Computing
(Sprache: Englisch)
Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient...
Leider schon ausverkauft
versandkostenfrei
Buch (Kartoniert)
176.54 €
88 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „New Learning Paradigms in Soft Computing “
Klappentext zu „New Learning Paradigms in Soft Computing “
Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.
Inhaltsverzeichnis zu „New Learning Paradigms in Soft Computing “
Statistical Learning by Natural Gradient Descent.- Granular Networks and Granular Computing.- Learning and Decision-Making in the Framework of Fuzzy Lattices.- Lazy Learning: A Logical Method for Supervised Learning.- Active Learning in Neural Networks.- Knowledge Extraction from Reinforcement Learning.- Reinforcement Learning for Fuzzy Agents: Application to a Pighouse Environment Control.- Performance Comparisons of Neural Networks and Machine Learning Techniques: A Critical Assessment of the Methodology.- Digital Systems Design Through Learning.- Hybrid Inductive Machine Learning: An Overview of CLIP Algorithms.- An Integer Programming Approach to Inductive Learning Using Genetic and Greedy Algorithms.- Using Unlabeled Data for Learning Classification Problems.- Problems of Rule Induction from Preterm Birth Data.- Reduction of Discriminant Rules Based on Frequent Item Set Calculation.- Deriving a Concise Description of Non-Self Patterns in an Artificial Immune System.
Bibliographische Angaben
- Autoren: Lakhmi C Jain , Janusz Kacprzyk
- 2011, Repr. d. Ausg. v. 2002, XII, 464 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Physica-Verlag
- ISBN-10: 3790824992
- ISBN-13: 9783790824995
Sprache:
Englisch
Kommentar zu "New Learning Paradigms in Soft Computing"
0 Gebrauchte Artikel zu „New Learning Paradigms in Soft Computing“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "New Learning Paradigms in Soft Computing".
Kommentar verfassen