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Посмотр 31 May–2 June 2006 по названию
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Can neural networks holistically reprogram themselves through their own observation?
(BrSTU, 2006)Neural networks (NNs) are inspired -at least metaphorically -from biological solutions nature selected by evolution. On one hand, learning algorithms' efficacy has been widely demonstrated experimentally, even if the mathematical proof of their convergence is not always very easy to establish (SOM). ...2023-11-23
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Classification of handwritten signatures based on boundary tracing
(BrSTU, 2006)The paper presents a system for offline classification of handwritten signatures. The algorithm is based on boundary tracing technique for extracting characteristic features. Outer and inner boundaries are treated separately. The upper and lower parts of the boundaries are extracted to form two sequences ...2023-11-23
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Comparative Analysis of Neural Networks and Statistical Approaches to Remote Sensing Image Classification
(BrSTU, 2006)This paper examines different approaches to remote sensing images classification. Included in the study are statistical approach, namely Gaussian maximum likelihood classifier, and two different neural networks paradigms: multilayer pcreeptron trained with EDBD algorithm, and ARTMAP neural network. ...2023-11-24
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Computer-aided technique for defect and project rules inspection on PCB layout image
(BrSTU, 2006)A technique o f PCB layout optical inspection based on image comparison and mathematical morphology methods is proposed. The unique feature of the technique is that the inspection is performed at different stages of image processing. The presence of all layout elements is checked up, then positions ...2023-11-28
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Fatigue Crack Growth Prediction via Artificial Neural Network Technique
(BrSTU, 2006)The artificial neural network (ANN) technique for the data processing of on-line fatigue crack growth monitoring is proposed after analyzing the general technique for fatigue crack growth data. A model for predicting the fatigue crack growth by ANN is presented, which does not need all kinds of materials ...2023-11-27
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Five Strategies of the Self-Tutoring of a Neural Networks by E. Sokolov
(BrSTU, 2006)The bionic models of neural networks are of interest. A bionic model that suggested by Prof. E. Sokolov consisting of detectors and control neurons. In his model the self-tutoring is designed, the environment and a purpose of neural network's behaviour are considered. In this article five various ...2023-11-23
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Fusion of Detectors on the Basis of Recirculation Neural Networks for Intrusion Detection
(BrSTU, 2006)The identification of attack class plays great role in intrusion detection. In this paper the method of recognition of a class of attack by means of the cumulative classifier with nonlinear recirculation neural networks as private detectors is described, strategy of detector selection – by a relative ...2023-11-29
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How Many Parachutists will be Needed to Find a Needle in a Pastoral?
(BrSTU, 2006)This article is a consideration on computer network intrusion detection using artificial neural networks, or whatever else using machine learning techniques. We assume an intrusion to a network is like a needle in a haystack not like a family of iris flower, and we consider how an attack can be detected ...2023-11-29
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Image Representation Based Hybrid Intelligent Diagnosis Approach for Computer Aided Diagnosis (CAD) Systems
(BrSTU, 2006)Computer Aided Diagnosis (CAD) is one of the most interesting and most difficult dilemma dealing in one hand with expert (human) knowledge consideration. On the other hand, fault diagnosis is a complex and fuzzy cognitive process and soft computing approaches as modular neural networks and fuzzy logic, ...2023-11-24
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Information-Based Algorithmic Design
(BrSTU, 2006)An information-based design principle is presented that provides a framework for the design of both parallel and sequential algorithms. In this presentation, the notion of information (data) organization and canonical separation are examined and used in the design of an iterative line method for pattern ...2023-11-29
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International Conference on Neural Networks and Artificial Intelligence
(BrSTU, 2006)This book collected the papers of the 4th International Conference on Neural Networks and Artificial Intelligence. They are arranged in following streams: Cyberspace Security and Defense, Neural Robotics, Neural Diagnosis, Neural Prediction, Pattern Recognition, Image Processing, Pattern Classification. ...2023-11-23
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Learning From The Environment With A Universal Reinforcement Function
(2006)Traditionally, in Reinforcement Learning, the specification of the task Ls contained in the reinforcement function (RF), and ach new task requires the definition of a new RF. But in the nature, explicit reward signals are limited, and the characteristics of the environment afTects not only how animals ...2023-11-23
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Matching on Graphs
(BrSTU, 2006)This work is devoted to development of new algorithm of the decision of a matter about matching. In the result the algorithm of search maximal matching in graphs has been developed and realized, the estimation of its complexity, and comparison with existing algorithms have been made. Its characteristics, ...2023-11-27
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Modular Connectionist Systems: Toward Higher Level Intelligent Functions
(BrSTU, 2006)Recent advances in “neurobiology" allowed highlighting some of key mechanisms of animal intelligence. Among them one can emphasizes brain’s “modular" structure and its ".self-organizing” capabilities. The main goal of this paper is to show how these primary supplies could be exploited and combined in ...2023-11-29
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Modular Neurocontroller for a Sensor-Driven Reactive Behavior of Biologically Inspired Walking Machines
(BrSTU, 2006)In this article, a modular neurocontroller is presented. It has the capability to generate a reactive behavior of walking machines. The neurocontroller is formed on the basis of a modular structure. It consists of the three different functionality modules: neural preprocessing, a neural oscillator ...2023-11-29
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Neural Network Techniques for Intrusion Detection
(BrSTU, 2006)This paper presents the neural network approaches for building of intrusion detection system (IDS). Existing intrusion detection approaches have same limitations, namely low detection time and recognition accuracy. In order to overcome these limitations we propose several neural network systems for ...2023-11-29
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Neural Networks for Chaotic Signal Processing: Application to the Electroencephalogram Analysis for Epilepsy Detection
(BrSTU, 2006)Many techniques were used in order to detect and to predict epileptic seizures on the basis of electroencephalograms. One of the approaches for the prediction of epileptic seizures is the use the chaos theory, namely determination largest Lyapunov's exponent or correlation dimension of scalp EEG ...2023-11-27
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On Application of the Ternary Matrix Cover Technique for Minimization of Boolean Functions
(BrSTU, 2006)To solve the task of recognizing features of objects used in expert systems the Boolean function approach can be attracted. In particular, the relation between the features can be given as a disjunctive normal form (DNF) of the Boolean function whose arguments correspond to the features, and the rise ...2023-11-27
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On the Inspection of Classification Results in the Fuzzy Clustering Method Based on the Allotment Concept
(BrSTU, 2006)Viattchenin, Dmitri A. On the Inspection of Classification Results in the Fuzzy Clustering. Method Based on the Allotment Concept / Dmitri A. Viattchenin // International Conference on Neural Networks and Artificial Intelligence : proceedings, Brest, 31 May – 2 June, 2006 / Edited: V. Golovko [et al.]. ...2023-11-23
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Resampling-down Mesh based Discriminant Filter Synthesis for Face Recognition
(BrSTU, 2006)Presented paper addresses face recognition algorithm by means o f synthetic discriminant filters synthesized in pseudo 3-D mesh domain. The objective of the research is to construct facial descriptor in the form of linear filter, which should produce high and low outputs for intra- and inter-class ...2023-11-24