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.

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ABSTRACT
With the dawn of the genome era computational methods in the automatic analysis of biological data have become increasingly important. The explosion in the production rate of expression level data has highlighted the need for automated techniques that help scientists analyze, understand, and cluster (sequence) the enormous amount of data that is being produced. Example of such problems are analyzing gene expression level data produced by microarray technology on the genomic scale, sequencing genes on the genomic sc ....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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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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i need a matlab code for the neuro fuzzy based human face recognition ....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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Fuzzy Logic
Philosophical approach
Decisions based on degree of truth
Is not a method for reasoning under uncertainty that probability
Crisp Facts distinct boundaries
Fuzzy Facts imprecise boundaries
Probability - incomplete facts
Example €œ Scout reporting an enemy
Two tanks at grid NV 54 (Crisp)
A few tanks at grid NV 54 (Fuzzy)
There might be 2 tanks at grid NV 54 (Probabilistic)
Apply to Computer Games
Can have different characteristics of players
Strength: strong, medium, weak
Aggressiveness: meek, ....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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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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TACTILE SENSING SYSTEM USING ARTIFICIAL NEURAL NETWORKS

ABSTRACT
Object Identification plays an important role in various applications ranging from robotics to computer vision. Artificial neural network (ANN) is being used for in various pattern recognition applications due to the advantages of ability as well as adaptability to learn. This paper presents identification of object independent to size, position and orientation using the concept of ANN and moments. The ....etc

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