Neuro-Fuzzy and Soft Computing : A Computational Approach to Learning and Machine Intelligence

Jyh- Shing Roger Jang, Chuen- Tsai Sun, Eiji Mizutani

Informasi Dasar

65 kali
14.01.9863
006.3
Buku - Circulation (Dapat Dipinjam)
4

Neuro-Fuzzy Modeling and Soft Computing places particular emphasis on the theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. Neuro-Fuzzy Modeling and Soft Computing is oriented toward methodologies that are likely to be of practical use. It includes exercises, some of which involve MATLAB programming tasks to provide readers with hands-on programming experiences for practical problem-solving. Each chapter also includes a reference list to the research literature so that readers may pursue topics in greater depth. This book is suitable as a self-study guide by researchers who want to learn basic and advanced neuro-fuzzy and soft computing within the framework of computational intelligence.

Subjek

SOFT COMPUTING
NEURAL NETWORKS, FUZZY SYSTEMS

Katalog

Neuro-Fuzzy and Soft Computing : A Computational Approach to Learning and Machine Intelligence
978-0132-610667
xxvi, 614p.: ill.; 23cm.
Inggris

Sirkulasi

Rp. 0
Rp. 1.000
Ya

Pengarang

Jyh- Shing Roger Jang, Chuen- Tsai Sun, Eiji Mizutani
Perorangan
 
 

Penerbit

Prentice Hall
New Jersey
1997

Koleksi

Kompetensi

  • CDG4K3 - DATA MINING
  • CS3243 - KECERDASAN MESIN DAN ARTIFISIAL
  • CSG3G3 - KECERDASAN MESIN DAN ARTIFISIAL
  • CIG4B3 - SOFT COMPUTING

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