Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems

Optical Character Recognition Motivated by Primate Visual System

A visual nervous system inspired approach to optical character recognition is proposed in this paper with the hope to touch human performance in a limited extent. Particularly, the application of features motivated by the hierarchical structure of the visual ventral stream for recognition of both English and Persian handwritten digits is investigated. Features are derived by combining position and scale invariant edge detectors in a hierarchy over neighboring positions and multiple orientatio...

Guha Analysis of Proteomic Oncological Data

The paper presents results of GUHA analysis of proteomic data. The data are related to an oncological study on breast cancer and are given by 2D electrophoresis gels carrying expression intensity of proteins in cancer cells. The gels have been classified by a physician according to the clinical course of the tumor disease. A research task is aimed on search for significant relations between protein spot intensities and respective clinical presentation. The task was solved by the GUHA method o...

In-Service Video Quality Measurements in Optical Fiber Links Based On Neural Network

Video quality assessment plays a key role in evaluating and optimizing video systems. In this paper, objective image quality metric, appropriate for the fiber optic image transmission line without accessing to the original images, is evaluated by conventional neural networks. It allows an efficient continuous time scoring of the video stream efficiently by a mark on a scale of zero to five. The image database in this research has been collected in the Semnan University. The certainty of the t...

Training a Small Kdd Subset to Detect and Classify Attacks

This paper presents a neural network (NN) approach to detect intrusions. Previous works used many KDD records to train NNs for detecting intrusions. That is why; our objective here is to show that in case of the KDD data sets, we can obtain good results by training some NNs with a small data subset. To prove that, this study compares the attacks detection and classification by using two training sets: a set of only 260 records and a set of 65536 records. The testing set is composed of 65536 r...

Genetic Algorithm with Neighbor Solution Approach for Traveling Salesman Problem

The Traveling Salesman Problem (TSP) is an NP-Complete problem. Many techniques were developed to solve such problem, including Genetic Algorithms (GA's). The goal of this research is to enhance the performance of the Genetic Algorithm (GA) in solving the TSP. We achieve this goal by developing a local search algorithm called Search for Nearest Solution Algorithm (SNSA). This algorithm produces better solutions in acceptable periods of time. A new Crossover operator is proposed and used in th...