neural networks simon haykin ebook
you can see this book
Neural Networks: A Comprehensive Foundation (2nd Edition) by Simon Haykin
also you can search in EDAboard.com in Search part Ebook Download/ Upload
hi ,
Simple dude..
Neyrals means Brain Physiology related stuff.
Network is connectivity on the realtime enviornments.
NN as they are called is a feil where in the devices are designed keeping the physiology and fuctioning of brain as a reference..
It is (nn)re made of Neurons..
want more info the book link provided by one friend will prove useful.. good starter
regards
Hi,
Neural network is a kind of Artificial Intelligence. The basic elements in NN are neurons, weights, and threshold.
NN is a model simulating human brain, where it can learn by training. The concept of NN is not complicated, you can learn from many books. There are several ebooks about NN in EDAboard Ebook Upload/Downlaod.
There're many architectures and training methods for NN, where each of them has strength and weakness respectively. Looking for a suitable architecture and training algorithm for particular application is very important to make the NN work.
You can refer to Qijun Zhang's papers. Search MTT for Qijun zhang's paper.
Best regards,
hi
I need:
Neural Networks: A Comprehensive Foundation (2nd Edition) -- by Simon Haykin
book. anybody know how can i find it
Try to look for it in the EDAboard Ebook Upload/Download. This is a quite famous book, should be able to get it.
hi deer u can try this book it will help u
basicaly it is sub branch of Artifical aintelegence a very wast field
it was develop by inspiring nature.
NN is one way of simulating the way humans learn things.
It is a network of nodes (Neurons, Nerves), relating with each other with links (synapses). Each link has a Wait. So we can simulate it with a matrix, each row representing the waits between a certain node and the other nodes. This network can have layers, it means there are two or more sets of nodes, each have a matrix of its own, and there are some links between layers. The first set (which may be the only set) has some links to the outside, representing INPUTS. The final set (which can be the only set, too) has outer links as the OUTPUT of the network. You apply the inputs to the INPUT, and you get the output from OUTPUT. Learning, means changing, in some manner, the waits of the nodes, so that the networks give the right outputs with certain inputs. So, they can give the outputs of unknown inputs, by learning the relation between the INPUTS and OUTPUTS of your certain problem.
There are some different kind of Nets, such as RBF (Radial Basis Functions), Multi-Layer perceptrons (MLP), Kohonen Networks, so on... .
You can find a comprehensive description of NNs here:
http://www.cs.stir.ac.uk/~lss/NNIntro/InvSlides.html
.matt
this book is useful:
Neural Networks - Algorithms, Applications and Programming Techn.
Hagan,M.T., Demuth,H.B. and Beale,M.H.
Hi,
The eBook is available here (RapidShare links):
https://www.edaboard.com/viewtopic.php?p=875385#875385
I think this will help you guys out more in learning Artificial inteligence concept.
try some e books from esnips.com or 2020ok.com
Thanks a lot 4 this book.
HI
this is a good book on matlab use in NN