Home > January, 2009
Any genuine knowledge would be appreciated, not just stuff copied and pasted from wikipedia, I can do that myself. I just want any information anyone might have please.
I should have specified that I am a second year cybernetics student, wishing to expand my knowledge.
Neural network is a programming methodology that uses the puts together different peices of information to generate a pattern. The data collected from different points is weighted (sometimes ) and extrapolation is done using defined rules or from first principals to obtain a better idea of the system without undergoing a tedious test every point approach. Since the system is learning more and more data contributes to better understanding.
My understanding is that the output of neural network program is 2D or 3D mesh graph where in all the known values are used and unknown are extrapolated by an algorithm. For e.g. we could use neural network program to simulate how a model would work under wind velocity, pressure, drag etc and when sufficient points are available extrapolate/simulate the points to arrive at a conditions that are difficult to produce and when an appropriate model fits simulation use it test results in a difficult to produce conditions (for example sending to space). This can be used for any particular circumstances like building a robot, forcasting weather, data mining using existing data etc.
The concept is similar to how brain's learning functions. The term neural networks means connecting different related data through set of rules like neurons collect the pass to the brain.(my way of looking at it)
A standard definition is available in the reference.
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Jonathan McCabe’s artificially evolved systems art
“The patterns are made by repeated foldings, rotations and shifts, and then each point is coloured depending on its positions during the operation. A process of artificial evolution was employed to develop the final images, involving repeated variation, selection and “cross breeding” of the recipes used to generate the images.”
http://sf.anu.edu.au/~jrm900/The_Front/
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Technorati Tags: ai, animation, art, Neural, sci-art
I need specific applications and please give references or links,if available.
Elevators are constantly updating their position, speed and load to a control system that dispatches a group of them efficiently based on projected arrival time duration of registered calls and previous assignments.
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I want to know more about programming ANN
I recommend learning C or C++ as it is the strongest language and can definitely help you with this. You may even be able to do this with Java which is slightly easier (as it is based on C). Good luck!
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I`ve developed (as part of my coursework) system that can recognize printed letters using MLP or SOM networks. Now I`d like to move on to word recognition. Right now I don`t want to recognize words in/from sentence. My goal is to recognize single word given as input vector or as image.
There is a lot of information here, plus a large bibliography:
http://www.dsi.unifi.it/ANNxDAR/
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http://cg.skeelogy.com/knowledge-ai.php#nn
The enemy robots in this mini-game uses neural networks (NN) to do decision making. Prior to what you see here, the NN has undergone some training so that it has learnt how to react based on a human player’s reactions.
Notice these things about the trained robots in the video:
i) They approach me when I’m near and stop to attack when they are in shooting distance. They approach me again when I back away.
ii) Once their HP is low, they know that they should flee instead of trying to attack again
iii) Although they have started to flee, they try to attack me again when I’m not facing them. Once I point the cursor at them, they know that they should flee, even though I haven’t even started shooting. This implies that they are especially good at back attacks.
And all these are done by simply training the neural networks.
Note: The fleeing in a zig-zag manner is procedural and not done by the neural networks.
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im an Engineering undergraduate and im going to start a project related to color based food processing (for eg sorting of tea,coffie ..ect)
there i need to classify colors of food particals, recognice impurities and reject them
so i need to know how to buid a Fuzzy controller , implement a neural network and details of hybrid systems.
i have basic knoledge of nural and fuzzy systems and im very poor in practical knoledge
so please be kind enough to give me a full details of above systems and relevent links pdf…
i will be greateful if u can send me a mail to
windanajith@yahoo.com
thank you!
I have worked with neural networks and I think I kept overtraining my system - this was 12 years ago.
The technology has improved - try looking up relevant papers at the library. You need to know some EE in order to build a fuzzy controller - talk to your EE friends for some advice and support.
There is not one PDF link which will solve your problem - you will have to spend time and even money to obtain success. Good luck to you.
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give information about artificial neural networks in detail?
how is this area useful?
ANNs are software constructs that can be trained by example to recognize (classify) or estimate (predict) results from a variety of inputs.
In training, the ANN is presented with the inputs and the correct output. This is done many times. In usage, the ANN is presented with the inputs only and asked what the output should be.
There are a number of good resources about neural networks available on the internet.
Neural nets are particularly useful when the relationship between the inputs and outputs may not be readily apparent to a human analyst. One classic example would be the prediction of stock market prices based on the values of various indicators, which may include such things as other stock prices, the weather, items in the news and a host of other things. As long as the inputs can be numerically quantified, they will work.
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I mean, currently.
If you are talking about it's future, please state so.
Thank you
I'd be grateful to see detailed applications (if it's not an application, just some great thing that ANN can do is also ok)
to tedt2:
if pattern recognition was the greatest thing it could do… i'd be really really really disappointed…
Pattern recognition.
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Artificial Neural Network, Exam preparation needs solved questions
goto the following likk
http://www.katz.cd
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