Presented By:
AARTI SHARMA
SHREYANS KOTHARI
III BE V SEM


NEURAL NETWORK
BRAIN KE BARABAR


WHAT IS NEURAL NETWORK?
A HIGHLY INTERCONNECTED NETWORK OF INFORMATION PROCESSING ELEMETS THAT MIMICS THE HUMAN BRAIN IN CONNECTIVITY & FUNCTIONALITY


WHERE CAN NEURAL NETWORK SYSTEMS HELP?
WHERE WE CANâ„¢T FORMULATE AN ALGORITHMIC SOLUTION.
WHERE WE CAN GET LOTS OF EXAMPLES.
WHERE WE NEED TO PICK OUT THE STRUCTURE FROM EXISTING DATA.



NEURAL NETWORK ADDRESS PROBLEMS:
P ....etc

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Abstract
Most device drivers have one ulterior motive and one target to achieve - deliver the maximum using the minimum. No matter how stable or feature rich a device driver might be, if it cannot perform in terms of high throughput and low CPU utilization, it is as good as any other run of the mill driver.The objective of this topic is to use the thinking out of the box concept and expose techniques, which go beyond just good programming principles to get that extra edge which can put your next driver into the elite group of high perform ....etc

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hello sir,i need the project of minimizing delay and maximizing lifetime for wireless sensor networks with any cast 's system flow diagram and data flow diagram.. its very argent sir plz kindly provide me.. ....etc

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optimising free space optics for wireless networks seminar report and slide needed some one please help
some good electrical project reports are also welcomed ....etc

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Hi i need any seminar or presentation on wireles sensor networks plz send me whatever information u have plz....ont=Arial] ....etc

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INTRODUCTION
Neural networks, as used in artificial intelligence, have traditionally been viewed as simplified models of neural processing in the brain, even though the relation between this model and brain biological architecture is debated.
A subject of current research in theoretical neuroscience is the question surrounding the degree of complexity and the properties that individual neural elements should have to reproduce something resembling animal intelligence.
Historically, computers evolved from the von Neumann arc ....etc

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ABSTRACT
Currently, almost all network operators worldwide are upgrading their GSM networks in order to provide high speed mobile data to their subscribers. The ever increasing growth rate of data applications such as e-mail and the internet is confronting mobile network operators worldwide with the challenge to upgrade their networks to high bandwidth capable bit pipes in order to provide for all kinds of mobile data applications. High speed mobile data will combine two of today's most rapi ....etc

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ABSTRACT
The seminar gives an in depth ideas of how the network has evolved from one in which switch based service logic provided services to one in which service-independent advanced intelligent network (AIN) capabilities allow for service creation and deployment.
While IN provides a network capability to meet the ever-changing needs of customers, network intelligence is becoming increasingly distributed and complicated. The introduction of the IN/1 marked the first time that service logic ....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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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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