1. INTRODUCTION
This seminar is about the artificial neural network application in processing industry. An artificial neural network as a computing system is made up of a number of simple and highly interconnected processing elements, which processes information by its dynamic state response to external inputs. In recent times study of ANN models have gained rapid and increasing importance because of their potential to offer solutions to some of the problem ....etc

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please provide the material of screen less displays technology
....etc

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I am pooja and i want a ppt on Screenless display and that should contain 25 minimum slides
my email id is [email protected] ....etc

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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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Neuroscientist Paul Bach-y-Rita hypothesized in the 1960s that we see with our brains not our eyes. Now, a new device trades on that thinking and aims to partially restore the experience of vision for the blind and visually impaired by relying on the nerves on the tongue's surface to send light signals to the brain.

Legal blindness is defined by U.S. law as vision that is 20/200 or worse, or has a field of view that is less than 20 degrees in diameter. The condition afflicts more than one million Americans over the age of 40, according to ....etc

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Backpropagation Algorithm
Basic Neuron Model In A Feedforward Network
Inputs xi arrive through pre-synaptic connections
Synaptic efficacy is modeled using real weights wi
The response of the neuron is a nonlinear function f of its weighted inputs
Differences In Networks
Feedforward Networks
Solutions are known
Weights are learned
Evolves in the weight space
Used for:
Prediction
Classification
Function approximation
Feedback Networks
Solutions are unknown
Weights are prescribed
Evolves in the state space
U ....etc

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Artificial Neural Networks



Biological inspiration


Animals are able to react adaptively to changes in their external and internal environment, and they use their nervous system to perform these behaviours.

An appropriate model/simulation of the nervous system should be able to produce similar responses and behaviours in artificial systems.

The nervous system is build by relatively simple units, the neurons, so copying their behavior and functional ....etc

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CLOSTRIDIUM TETANI
CLASSIFICATION :-
Division-Prokaryotes
Kingdom - Bacteria
Phylum - Firmicutes
Class - Clostridia
Order - Clostridiales
Family - Clostridiaceae
Genus - Clostridium
Species - Clostridium tetani
INTRODUCTION:-
Clostridium tetani was discovered in 1884 by a German physician Arthur Nicolaier. He found that C.tetani causes tetanus when he injecting test animals with garden soil which contain bacteria. Clostridium tetani is an anaerobic bacterium t ....etc

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