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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Application of Neural Networks in Power Systems; A Review
Abstract—
The electric power industry is currently undergoing
an unprecedented reform. One of the most exciting and potentially
profitable recent developments is increasing usage of artificial
intelligence techniques. The intention of this paper is to give an
overview of using neural network (NN) techniques in power
systems. According to the growth rate of NNs application in some
power system subjects, this paper introduce a brief overview in
fault diagnosis, se ....etc

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Today, Internet rules the world. The Internet is used to access the complete facility of transferring the information, besides maintaining the secrecy of the document. Since the network is considered to be insecure, the encryption and authentication are used to protect the data while it is being transmitted. The security is insufficient when the codes for encryption and decryption are revealed. There comes the necessity of increasing the security through face recognition using neural network. Though it is costlier, it provides the high advanta ....etc

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Just as life attempts to understand itself better by modeling it, and in the process create something new, so Neural computing is an attempt at modeling the workings of a brain and this presentation is an attempt to understand the basic concept of artificial neural networks.

In this paper, a small but effective overall content of artificial neural networks is presented . .First,the history of Neural Networks which deals with the comparative study of how vast the Neural Networks have developed over the years is presented. Next, having ....etc

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The power and speed of modern digital computers is truly astounding. No human can ever hope to compute a million operations a second. However, there are some tasks for which even the most powerful computers cannot compete with the human brain, perhaps not even with the intelligence of an earthworm. Imagine the power of the machine which has the abilities of both computers and humans. It would be the most remarkable thing ever. And all humans can live happily ever after (or will they?). Before discussing the specifics of artificial neural nets ....etc

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i need complete documentation and ppt for the topic qr codes for technical seminar .. please can any one help me with this... i neeed to submit the documentation tommorow. please mail to [email protected] ....etc

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Abstract
Wind power generation increases rapidly. The availablewind energy depends on the wind speed, which is a randomvariable. For the wind-farm operator, this poses difficulty in thesystem scheduling and energy dispatching, as the schedule of thewind-power availability is not known in advance. In this paper,we propose an intelligent technique for forecasting wind speed ofwind turbine. This technique is based on artificial neuralnetwork (ANN). The Back propagation (BP) neural network isthen supplied with the data to establish the rel ....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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Most people when asked if they think computers could ever become sentient quickly respond no and refer to the fact that computers are unable to learn. However, Neural Networks seems to do just that.

Neural Networks encompass a diverse set of computational models, which share a set of simple underlying characteristics. Inspired by the computational style of biological systems, a Neural Network can be viewed as an assembly of simple, interconnected processing units (neurons) acting in parallel, which communicate to each other using unidirecti ....etc

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This paper deals with the application of artificial neural network to the transient stability assessment of a power system. The backpropagation technique is used to train the neural networks. The use of artificial neural network for computing critical clearing time and transient energy margin for a machine infinite bus system has been illustrated. In our enthusiastic investigations we found the ideas here proposed for a single machine will be the pioneer for extension of the same to the assessment of multi machine stability.

http://pptpdf.n ....etc

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