INFORMATION-BASED ALGORITHMIC DESIGN OF A NEURAL NETWORK CLASSIFIER

A Parallel Implementation of a Neural-Network Based Object Classifier

This paper presents a parallel implementation of an intelligent 2-D object classifier. The artificial vision system, based on neural networks, allows for the distinction among several different classes of images and provides invariance in respect to rotation, translation and scaling of the input image. The parallel implementation was made on the P-RIO environment that facilitates parallel progr...

Classifier Based Text Mining for Neural Network

Text Mining is around applying knowledge discovery techniques to unstructured text is termed knowledge discovery in text (KDT), or Text data mining or Text Mining. In Neural Network that address classification problems, training set, testing set, learning rate are considered as key tasks. That is collection of input/output patterns that are used to train the network and used to assess the netwo...

Representation of obstacles in a neural network based classifier system

A New Method of Combined Classifier Design Based on Fuzzy Neural Network

To make the modulation classification system more suitable for signals in a wide range of signal to noise rate (SNR), a novel method of designing combined classifier based on fuzzy neural network (FNN) is presented in this paper. The method employs fuzzy neural network classifiers and interclass distance (ICD) to improve recognition reliability. Experimental results show that the proposed combi...

Design of a Fuzzy Classifier Network Based on Hierarchical Clustering

In this article the issue of data based modeling is dealt with the help a network of uniform multivariate fuzzy classifiers. Within this framework the innovation consists in the specification of a hierarchical design strategy for such a network. Concretely, the two network specifying factors, namely the layout of the network structure and the classifier nodes configuration, will be addressed by...