A01=C.L. Philip Chen
A01=Han-Pang Huang
A01=Hongxing Li
adaptive control systems
Adaptive Fuzzy Controllers
advanced neuro-fuzzy engineering applications
ANFIS
ANFIS Architecture
Author_C.L. Philip Chen
Author_Han-Pang Huang
Author_Hongxing Li
C.L. Philip Chen
Category=UYQN
Cop Signal
Cop Trajectory
Cycle Time
DSP-based controllers
EMG Signal
engineering applications
Enhancement Nodes
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Factor Space
Feedforward Neural Network
Functional Link Network
Fuzzy Control
Fuzzy Controller
Fuzzy Decision Tree
Fuzzy Inference System
Fuzzy Neural Networks
Fuzzy Neuron
Fuzzy Partition
Fuzzy Sets
fuzzy-neural intelligent systems
Han-Pang Huang
Mathematical Essence
mathematical foundation
Membership Functions
neural network modeling
neuro-fuzzy systems
PD Controller
Postural Control Ability
rehabilitative robotics
soft computing techniques
tactile recognition algorithms
Translation Coefficients
Young Man
Product details
- ISBN 9780849323607
- Weight: 890g
- Dimensions: 178 x 254mm
- Publication Date: 21 Sep 2000
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems, especially their mathematical foundations.
Fuzzy Neural Intelligent Systems fills this gap. It develops a mathematical basis for fuzzy neural networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing their focus into three main areas of interest, the authors give a systematic, comprehensive treatment of the relevant concepts and modern practical applications:
Suitable for self-study, as a reference, and ideal as a textbook, Fuzzy Neural Intelligent Systems is accessible to students with a basic background in linear algebra and engineering mathematics. Mastering the material in this textbook will prepare students to better understand, design, and implement fuzzy neural systems, develop new applications, and further advance the field.
Hongxing Li, C.L. Philip Chen, Han-Pang Huang
