The purpose of this paper is to describe the use of the multiple classes random neural network model to learn various statistical patterns. We propose a pattern recognition algorithm for the recognition of statistical patterns based upon the non-linear equations of the multiple classes random neural network model using gradient descent of a quadratic error function. In this case the classificat...

This chapter presents a new approach in pattern recognition which relies on using fast and efficient techniques in the implementation of basic pattern recognition procedures. More specifically, concerning the pattern preprocessing and feature extraction stage, a novel method is employed in the design of the relevant algorithms. Namely, the Image Block Representation methodology is used in the c...

| Combining the outputs of multiple neural networks has led to substantial improvements in several dii-cult pattern recognition problems. In this article, we introduce and investigate robust combiners, a family of classiiers based on order statistics. We focus our study to the analysis of the decision boundaries, and how these boundaries are aaected by order statistics combiners. In particular,...

A new Self-Organizing Learning Array (SOLAR) system has been realized in software. SOLAR is capable of handling a wide variety of classification problems. It has a regular array structure with sparsely interconnected computing elements and local learning rules. Unlike artificial neural networks, this structure scales well to large systems capable of solving complex pattern recognition and class...

Recognition of interacting features has been a difficult task in many existing feature-recognition systems. The unique topological patterns of isolated features change drastically when they interact. Hence many surfacebased methods encounter problems in accommodating these changes in their generic feature definitions. Recently, much effort has been concentrated on the volumetric approach. Howev...

The automatic recognition of the type of the vehicle constitutes one of the contemporary means used for monitoring of the road transport. The paper presents an application of neural network in a hybrid, high speed, pattern recognition system applied to the recognition of road vehicles. The paper considers also an application of the infrared imaging in the problems of recognition of the type of ...

This paper is proposed the face recognition method using PCA with neural network back error propagation learning algorithm .In this paper a feature is extracted using principal component analysis and then classification by creation of back propagation neural network. We run our algorithm for face recognition application using principal component analysis, neural network and also calculate its p...