Neural Networks

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Also please tell me how neural networks can be applied in optimizing certain problems.
I mean in Data Mining and Artificial Intelligence Area..Also please tell me how neural networks can be applied in optimizing certain problems.

You did not state whether you were referring to Biological (the traditional meaning) or to Artificial (the modern usage). For further reading, try this link: http://en.wikipedia.org/wiki/Neural_network

It also makes a difference in the types of problems being optimized when referring to either of these definitions of a neural network. And to exactly what conditions need to be met to classify something as being optimized.

Your question and follow-up sentence are much to vague to be fully answered within the confines of Yahoo Answers. They produce more questions about further details than has been provided.

Try doing a Google search using the following keywords:

neural networks optimized problem solving

You should be able to get several links such as these:

http://www.springerlink.com/content/0q4443xhu753237r/
http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html
http://www2.computer.org/portal/web/csdl/doi/10.1109/PDCAT.2005.13

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Learn Neural Net Programming: http://www.heatonresearch.com/course/intro-neural-nets-cs
In class session 3, part 2 we will look at how to actually program a Hopfield neural network in C#. The hopfield neural network is a simple neural network made up of bipolar numbers. Artificial intelligence online course presented by Jeff Heaton, Heaton Research.

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Technorati Tags: artificial intelligence, bipolar, Heaton Research, Hopfield, java, Jeff Heaton, neural network, Online Course

regarding solutions of Neural networks, simon haykins

Try here
http://www.ebookee.com/Neural-Networks-A-Comprehensive-Found-_112037.html

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want to learn more about self driving cars

First your question is not elaborate, exactly what are you looking for. 2nd thing….Yes, Neural networks are extensively used to fly planes in Auto Pilot mode just to update you which contains taking very high number of decisions on comapratively far higher input variables (Plane is flying in sky with too many critical inputs/output parameters to be controlled). If you want to run your car with ANN…dude you have to load it with too many sensors to get the Controller all the parameters & on the basis of that Controller will give commands (Read Output) which need to be executed to the hardware of the car.

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This video reviews the basic architecture of the Encog ( http://www.encog.org ) Artificial Intelligence Framework. The major object types of layers, synapses, and neural logic are reviewed. Feedforward, Elman and Hopfield neural networks are demonstrated.

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Technorati Tags: elman, encog, feedforward, heaton, Heaton Research, Hopfield, Jeff Heaton

want to learn more about neural networks and fuzzy logic controllers,its applications and recent trends

They are the future Skynet, Echelon and Ariia.

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I am familiar with basic artificial neural networks and can program one myself using a genetic algorithm to train weights. But since the neurons only output a 0 or a 1, how can you use a neural network to use data that is not binary. Like if my inputs are 5, 7, 99 and i want it to output 44, 2, 3 how do I make the neural net do that? It only outputs 0 or 1 !

I’ve never heard of binary outputs. I also use a genetic algorithm for training on this project I’m working on, and I always get a floating-point value between 0 and 1.

The synapse weights are supposed to be a percentage. That’s all I can think of that may be wrong.

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