We begin by considering an Artificial neural n/w architecture in which every node is connected to every node and these connect as are either excitatory or inhibitory or irrelevant.




A single node is insufficient for many patricidal problems and large number of nodes is frequently used. The way nodes are connected determines how computations proceed and constitutes an important early design decision by a neural network developer. A brief discussion of biological neural networks is relevant, prior to examining artificial neural networ ....etc

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i want to know the procedure in building a device that has voice recognition, the circuit diagram,, components needed for this ....etc

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Neural network is a massively parallel distributed processor made of simple processing units which has a natural propensity for storing experimental knowledge and making it available for us. Neural network are a different paradigm for computing. v Von Neumann machines are based on the processing / memory abstraction of human information processing. v Neural networks are based on the parallel architecture of human brain. For the insulation design of high voltage apparatus, electric field optimization technique becomes indispensable tool. Once th ....etc

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ARTIFICIAL NEURAL NETWORKS BASED
DEVNAGRI NUMERAL RECOGNITION BY USING S.O.M
ABSTRACT:
In the present paper the proposed system is self organizing map method used to recognize the Devanagiri characters. The som is trained for hundred handwritten devangri characters. The som is trained for hundred hand written devanagari numerals. The Network was tested for different parameters such as o/p nodes, neighborhood size, no of cycle. The process of training was repeated for number of times.
INTRODUCTION:
We begin by consid ....etc

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A framework for developing neural networks based mobile appliances

Abstract
The aim of our project is to develop a mobile real-time reader device for blind people. It uses Artificial Neural Networks (ANNs) for the core character recognition engine. The hardware constraints led us to develop a cross-platform framework to design and evaluate such subsystem in order to find a good trade off between run-time performances and accuracy of results. The goal of this work is to provide a tool for prototyping and evaluating ANNs without ....etc

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A Novel Two-Stage Impulse Noise Removal Technique Based on Neural Networks and Fuzzy Decision
Introduction
Images corrupted by impulse noise.
Objectives of noise removal:-
- Suppress the noise.
- To preserve the sharpness of edge.
Two-Stage impulse noise removal techniques used:-
- Neural Networks
- Fuzzy Decision
Neural Network
Neural network: information processing paradigm inspired by biological nervous systems, such as our brain
Structure: large number of h ....etc

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ABSTRACT
Location prediction serves to save capacity on the air interface of mobile radio networks. A selection of neural networks of the feed-forward and feedback type are examined to prove their suitability for this purpose. As first results preferable network structures, input vectors, learning parameters and the simulated prediction probabilities are presented. A comparison with conventional methods shows the advantages and disadvantages of the use of neural networks for motion prediction. The results show that t ....etc

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Power System Restoration (PSR) has been a subject of study for many years. In recent years many techniques were proposed to solve the limitations of predetermined restoration guidelines and procedures used by a majority of system operators to restore a system following the occurrence of a wide area disturbance.

This paper discusses limitations encountered in some currently used PSR techniques and a proposed improvement based on Artificial Neural Networks (ANNs). This proposed scheme has been tested on a 162-bus transmission system and compa ....etc

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I am really in need of any latest topic of Neural network matlab based project......with code


Please help me out


Thanks ....etc

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pls show me some ppt. on knowledge based neural network ....etc

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