Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/springer-journals/fuzzy-neural-network-models-for-classification-Mf0oLQYoX0
References (22)
-
L.A. Zadeh (1994)
Fuzzy logic, neural networks, and soft computingCommunications of the ACM, 37
-
Li-Xin Wang, J. Mendel (1992)
Fuzzy basis functions, universal approximation, and orthogonal least-squares learningIEEE transactions on neural networks, 3 5
-
Fuzzy Neural Network Models for Classification
-
M.M. Gupta (1994)
Fuzzy neural networks: Theory and applicationsProceedings of SPIE, 2353
-
J. Jang (1993)
ANFIS: adaptive-network-based fuzzy inference systemIEEE Trans. Syst. Man Cybern., 23
-
H. Takagi, I. Hayashi (1991)
NN-driven fuzzy reasoningInt. J. Approx. Reason., 5
-
H. Berenji, P. Khedkar (1992)
Learning and tuning fuzzy logic controllers through reinforcementsIEEE transactions on neural networks, 3 5
-
L.A. Zadeh (1994)
Fuzzy logic, neural networks, and soft computingCommunications of the ACM, 37
-
S. Pal, S. Mitra (1992)
Multilayer perceptron, fuzzy sets, and classificationIEEE transactions on neural networks, 3 5
-
J.J. Buckley, Y. Hayashi (1994)
Fuzzy Sets, Neural Networks, and Soft Computing -
Chin-Teng Lin, C.S.G. Lee (1991)
Neural-Network-Based Fuzzy Logic Control and Decision SystemIEEE Trans. Computers, 40
-
J. Bezdek (1992)
Computing with uncertaintyIEEE Communications Magazine, 30
-
M.M. Gupta (1994)
Fuzzy neural networks: theory and applications Proceedings of SPIE, 2353
-
L. Zadeh (1973)
Outline of a New Approach to the Analysis of Complex Systems and Decision ProcessesIEEE Trans. Syst. Man Cybern., 3
-
J.S.R. Jang, C.T. Sun, E. Miztani (1997)
Neuro-Fuzzy and Self-Computing -
M. Jordan, R. Jacobs (1993)
Hierarchical Mixtures of Experts and the EM AlgorithmNeural Computation, 6
-
S. Mitra, S. Pal (1994)
Logical operation based fuzzy MLP for classification and rule generationNeural Networks, 7
-
A. Kulkarni (1994)
Artificial neural networks for image understanding -
M.I. Jordan (1994)
Hierarchical Mixtures of Experts and the EM AlgorithmNeural Computation, 6
-
Vivek Kale (2002)
Soft ComputingTechnometrics, 44
-
A. Kulkarni (1998)
Neural-Fuzzy Models for Multispectral Image AnalysisApplied Intelligence, 8
-
Samuel Lee, Edward Lee (1975)
Fuzzy Neural NetworksBellman Prize in Mathematical Biosciences, 23
- Publisher
- Springer Journals
- Copyright
- Copyright © 2000 by Kluwer Academic Publishers
- Subject
- Computer Science; Artificial Intelligence (incl. Robotics); Mechanical Engineering; Manufacturing, Machines, Tools
- ISSN
- 0924-669X
- eISSN
- 1573-7497
- DOI
- 10.1023/A:1008367007808
- Publisher site
- See Article on Publisher Site
Abstract
In this paper, we combine neural networks with fuzzy logic techniques. We propose a fuzzy-neural network model for pattern recognition. The model consists of three layers. The first layer is an input layer. The second layer maps input features to the corresponding fuzzy membership values, and the third layer implements the inference engine. The learning process consists of two phases. During the first phase weights between the last two layers are updated using the gradient descent procedure, and during the second phase membership functions are updated or tuned. As an illustration the model is used to classify samples from a multispectral satellite image, a data set representing fruits, and Iris data set.
Journal
Applied Intelligence – Springer Journals
Published: Oct 1, 2004