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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Abstract
This seminar discusses inter-technology mobility functionality being defined for emerging broadband wireless technologies and explains how this new functionality will add value to operatorâ„¢s networks. It explains the difference between various types of inter-technology mobility and then explores how LTE exploits inter-technology mobility to support a variety of access technolo- gies including 3GPP legacy technologies as well as EVDO, WiFi and WiMAX. This paper also provides examples illustrating how to use ....etc

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ABSTRACT
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special problems of text clustering: very high dimensionality of the data, very large size of the databases and understandability of the cluster description. In this paper, we introduce a novel approach which uses frequent item (term) sets for text clustering. Such frequent sets can be efficiently discovered using algorithms for associa ....etc

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sir,
i need to know the different thesis topics for computer science on neural network for m.phil.
thank u,
regards
vidya ....etc

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swarn singh PLS SND THIS TOPIC ANS IN MY ACCOUNT OF EMAIL [email protected] ....etc

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ABSTRACT:
This project presents the approach to the short term load forecasting using Artificial Neural Network (ANN) and Fuzzy Logic. Artificial Neural Networks (AAN) have recently been receiving considerable attention and a large number of publications concerning ANN-based short-term load forecasting (STLF) have appeared in the literature. Along with this Fuzzy Logic , also a part of Artificial Intelligence, is known to result in accurate predictions. In this paper, a model using Fuzzy Logic with the help of an ANN ....etc

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termpaper on tele operated intelligent robot ....etc

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Prepared by:
Saifur Rahman
Rahul Bhatnagar


Abstract

This paper reviews some of the existing studies on one-to-twenty four hour load forecasting algorithms, and presents an expert system based algorithm as an alternative. The logical and syntactical relationships between weather and load, and the prevailing daily load shapes have been examined to develop the rules for this approach. Two separate, but similar, algorithms have been developed to provide one-to-six hour and 24 hour ahead forecasts. These forecasts have bee ....etc

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hi am maha,how to i choose my thesis in neural network ....etc

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Pre-Term Birth Prediction using Neural Network

This project has three contributions: 1) to evaluate how changing the a priori distribution of the training set affects the performance of a back-propagation feed-forward Artificial Neural Network (ANN) in predicting PreTerm Birth (PTB) for obstetrical patients, 2) to assess the effectiveness of the weight elimination cost function in improving the ANN's classification of PTB and in identifying a new minimal dataset, and (3) to determine if PTB can be predicted outside of clinical trial s ....etc

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