Optical character recognition (OCR) is process of classification of optical patterns contained
in a digital image. The character recognition is achieved through segmentation, feature …

This paper presents an online feature selection algorithm using genetic programming (GP).
The proposed GP methodology simultaneously selects a good subset of features and …

This paper presents an efficient fuzzy classifier with the ability of feature selection based on
a fuzzy entropy measure. Fuzzy entropy is employed to evaluate the information of pattern …

We present a neural network based approach for identifying salient features for classification
in feedforward neural networks. Our approach involves neural network training with an …

In this paper, we have shown that the fuzzy-rough set attribute reduction algorithm [Jenson,
R., Shen, Q., 2002. Fuzzy-rough sets for descriptive dimensionality reduction. In …

Most methods of classification either ignore feature analysis or do it in a separate phase,
offline prior to the main classification task. This paper proposes a neuro-fuzzy scheme for …

Demonstrates a way of formulating neuro-fuzzy approaches for both feature selection and
extraction under unsupervised learning. A fuzzy feature evaluation index for a set of features …

A neuro-fuzzy methodology is described which involves connectionist minimization of a
fuzzy feature evaluation index with unsupervised training. The concept of a flexible …

The goal of this paper is to study and assessment of the performance of a computer network
with the assistance of partition Heronian mean (PHM) operators in the environment of …

Here, first we study the effectiveness of multilayer perceptron networks (MLPs) for prediction
of the maximum and the minimum temperatures based on past observations on various …