Structure identification of fuzzy model
Fuzzy Sets and Systems
Neural Networks
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
International Journal of Approximate Reasoning
Neural-Network-Based Fuzzy Logic Control and Decision System
IEEE Transactions on Computers - Special issue on artificial neural networks
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Foundations of Neuro-Fuzzy Systems
Foundations of Neuro-Fuzzy Systems
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
The thirsty traveler visits Gamont: a rejoinder to “Comments on fuzzy sets-what are they and why?”
IEEE Transactions on Fuzzy Systems
Rule-base structure identification in an adaptive-network-based fuzzy inference system
IEEE Transactions on Fuzzy Systems
Noise adaptive soft-switching median filter
IEEE Transactions on Image Processing
Unsupervised adaptive neural-fuzzy inference system for solving differential equations
Applied Soft Computing
Fuzzy peer groups for reducing mixed Gaussian-impulse noise from color images
IEEE Transactions on Image Processing
Some improvements for image filtering using peer group techniques
Image and Vision Computing
A modified gradient-based neuro-fuzzy learning algorithm and its convergence
Information Sciences: an International Journal
Root Mean Square filter for noisy images based on hyper graph model
Image and Vision Computing
An evolving-onstruction scheme for fuzzy systems
IEEE Transactions on Fuzzy Systems
Knowledge discovery by an intelligent approach using complex fuzzy sets
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
Prediction of liquefaction potential based on CPT up-sampling
Computers & Geosciences
Information Sciences: an International Journal
Adaptive image restoration by a novel neuro-fuzzy approach using complex fuzzy sets
International Journal of Intelligent Information and Database Systems
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The adaptive neuro-fuzzy inference system (ANFIS) is an effective tool that can be applied to induct rules from observations, e.g. pattern recognition. In this paper, we extend the nonlinear noise cancellation method using ANFIS from 1-D signals to 2-D counterpart images. First, the image restoration contaminated with Gaussian noise is investigated in nonlinear passage dynamics of order 2. We inspect eight types of membership functions (MF): bell MF, triangle MF, Gaussian MF, two sided Gaussian MF, pi-shaped MF, product of two sigmoidal MFs, difference of two sigmoidal MFs, and trapezoidal MF. In addition, the other parameters, such as the training epochs, the number of MFs for each input, the optimization method, the type of output MFs, and the over-fitting problem, are investigated. For comparison with the noise cancellation using ANFIS, we simulate 22 conventional filtering techniques: spatial filters, optimal Wiener filter, frequency domain filters, wavelet, wavelet packet, 2-D adaptive filters, etc. The quality in terms of mean square error (MSE) of image restoration using the proposed noise cancellation using ANFIS (Pi-shaped MF) is at least 75 times better for Gaussian noise than that derived using any of these conventional filtering techniques.