Cantitate/Preț
Produs
Total produse
Vezi coșul
New Learning Paradigms in Soft Computing de Lakhmi C. Jain

New Learning Paradigms in Soft Computing: Studies in Fuzziness and Soft Computing, cartea 84

Autor Lakhmi C. Jain, Janusz Kacprzyk
en Limba Engleză Hardback – 14 dec 2001
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 97927 lei  6-8 săpt.
  Physica-Verlag HD – 9 oct 2011 97927 lei  6-8 săpt.
Hardback (1) 98559 lei  6-8 săpt.
  Physica-Verlag HD – 14 dec 2001 98559 lei  6-8 săpt.

Din seria Studies in Fuzziness and Soft Computing

Preț: 98559 lei

Preț vechi: 123200 lei
-20% Nou

Puncte Express: 1478
Preț estimativ în valută:
18862€ • 19650$ • 15683£

Carte tipărită la comandă

Livrare economică 11-25 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783790814361
ISBN-10: 3790814369
Pagini: 480
Ilustrații: XII, 464 p.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 0.84 kg
Ediția:2002
Editura: Physica-Verlag HD
Colecția Physica
Seria Studies in Fuzziness and Soft Computing

Locul publicării:Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Shows the use of fuzzy logic, neural networks and evoluationary computations in various machine learning procedures Presents new trends in machine learning