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Посмотр 31 May–2 June 2006 по названию
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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
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Simulation Modelling of Neural Control System for Coal Mine Ventilation
(BrSTU, 2006)In this paper it is developed simple simulation model of a mine section in order to model sequential neural control scheme of the mine airflow. A technique of neural network's training set forming, neural network structure and a training algorithm are described. The results of simulation modeling of ...2023-11-28
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Soft Computing as a solution to Time/ Cost Distributor
(BrSTU, 2006)In this paper we present a theoretical model based on soft computing to distribute the time/cost among the industry/machine sensors or effectors based on the type of the application. One of the most unstudied significant work is to recognize which sensor in an industry for example has higher priority ...2023-11-27
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View-Based Word Recognition System
(BrSTU, 2006)In this paper, a new method for word recognition and classification without segmentation is presented. The worked out algorithm is based on recognizing the whole word without separating it into letters. According to this algorithm, entire words are treated and analyzed as object images subject to ...2023-11-24
