Duration : 0:0:0
Jan 18
Archived in the category: neural networks
Jan 15
Im doing masters in auto mission and Controls and want to built a model reference controller using neural networks principle. Can someone please guide me regarding it.
This is the message we have heard from him and proclaim to you, that God is light and in him is no darkness at all.
If we say we have fellowship with him while we walk in darkness, we lie and do not live according to the truth;
but if we walk in the light, as he is in the light, we have fellowship with one another, and the blood of Jesus his Son cleanses us from all sin.
If we say we have no sin, we deceive ourselves, and the truth is not in us.
If we confess our sins, he is faithful and just, and will forgive our sins and cleanse us from all unrighteousness.
If we say we have not sinned, we make him a liar, and his word is not in us.
powered by Yahoo Answers
Jan 12
In neural networks how would you answer the following?
Archived in the category: neural networks
Show that the activation function
phi(w) = 1/(1 + exp(-v))
can be approximated by a linear neuron when w(i) are sufficiently small
Probably when w -> 0
exp(-w) -> 1
and 1/(1 + exp(-w)) -> 1/2
Hope this helps
powered by Yahoo Answers
Jan 08
Optical Neural Networks?
Archived in the category: neural networks
I want to work in the area of Optical Neural Networks. I am comfortable with MATLAB and want to do the simulations using it. Kindly give me some guidance and link for relevant papers….
http://www.sciencedirect.com/science?_ob=ArticleListURL&_method=tag&_temp=&sort=r&sisrterm=&_ArticleListID=932866142&view=c&_chunk=0&count=1000&_st=&refsource=&_acct=C000017279&_version=1&_urlVersion=0&_userid=333848&md5=131b998d1b91f78af5e069e4c4945a08
have a search through that list of 19259 papers, 90% are free to download
good luck
powered by Yahoo Answers
Jan 05
i need an video tutorials on neural networks where do i get ?
Archived in the category: neural networks
well, my proj is on neural network i need stuff reg that …..
I THINK www.youtube.com OR www.expertvillage.com ARE THE BEST WEBSITES FOR YOU…..
powered by Yahoo Answers
Jan 02
Certainly you can if you have the prerequisites. However, I would stick with biomedical engineering. It has more practical applications.
powered by Yahoo Answers
Dec 30
doubts regarding face recognition using artificial neural networks?
Archived in the category: neural networks
what is the problem for which neural network is a solution .what is the technique adopted for image processing before invention of neural network.is neural network just a way of programming where processor can be made to learn to solve the process.will neural network get trained even during the testing.can face recognition be done by storing a database of pictures and comparing the test face based on pixel by pixel information with the stored database of faces.what are the ways of implementing face recognition without using neural networks.
Sorry, don’t get "Olivia O"’s answer.
NN are not really my field, but I’ll answer part of it.
The thing about tasks such as face recognition is that they are difficult supervised learning. Supervised means that you know the answers for some inputs & can train on them.
Pixel by pixel is usually a problem for such tasks as when you change the lighting or face angle, the pixels change. What you might like instead is to extract.process the data (pixels?) into some other features, like the separation of eyes, length of nose, scar on cheek, whatever, you don;t really care as long as they are essentially invariant over the things that change & constant for the same faces.
Therefore feature selection is an issue.
NN usually have internal layers between neurons. These layers represent features developed internally during training & you do not necessarily care what the feature is, just that it makes the correct decision.
A NN therefore is a way to implement a trainable feature selector & decision mechanism.
There are likely disagreements between those who like NN & others, but I read it explained once that NN tend to be black box: They will train & achieve a level of performance but you cannot easily determine how they are making the decision.
In contrast support vector machines can easily show you how the decision is made.
NN can be created to represent many traditional adaptive algorithms & hence often in many ways are just the implementation of an algorithm that likely existing in other implementation before NNs.
The other thing about storing databases, is that most images have a LOT of pixels. To store & then calculate & make decisions based on all of them can be a problem: imaging Google sifting millions of images to answer a query. Instead the idea of calculating & storing a smaller set of features is attractive for storage & speed. That is you have reduced the dimensionality of the problem.
Hope this helps. Maybe someone who is an expert can correct my gross simplifications & errors. 
powered by Yahoo Answers
Dec 25
what design control system to dc motor with Artificial Neural Networks?
Archived in the category: neural networks
Keywords:DC motor, artifical neural networks, control system.
How designing control system for DC motor by using neural networks
I could answer this if there were a sentence constructed in English grammar.
Neural nets are learning engines and could be trained to control a motor in response to complex stimuli.
powered by Yahoo Answers
Dec 17
Archived in the category: neural networks
Nov 29
Archived in the category: neural networks