Neural Network
A neural network, also known as a parallel distributed processing network, is a computing paradigm that is loosely modeled after cortical structures of the brain. It consists of interconnected processing elements called nodes or neurons that work together to produce an output function. The output of a neural network relies on the cooperation of the individual neurons within the network to operate. Processing of information by neural networks is characteristically done in parallel rather than in series (or sequentially) as in earlier binary computers or Von Neumann machines. Since it relies on its member neurons collectively to perform its function, a unique property of a neural network is that it can still perform its overall function even if some of the neurons are not functioning. In other words it is robust to tolerate error or failure. (see fault tolerant) Additionally, neural networks are more readily adaptable to fuzzy logic computing tasks than are Von Neumann machines.
Neural network theory is sometimes used to refer to a branch of computational science that uses neural networks as models to either simulate or analyze complex phenomena and/or study the principles of operation of neural networks analytically. It addresses problems similar to artificial intelligence (AI) except that AI uses traditional computational algorithms to solve problems whereas neural networks use ‘networks of agents’ (software or hardware entities linked together) as the computational architecture to solve problems. Neural networks are trainable systems that can “learn” to solve complex problems from a set of exemplars and generalize the “acquired knowledge” to solve unforeseen problems as in stock market and environmental prediction. I.e., they are self-adaptive systems.
(From Wikipedia under the FDL.)
April 19th, 2007 at 4:12 am
I will like to have a simple C++ code for either back propagation in neural network, or one for prediction or pattern recognition. I want to use it for project work. I’m still a learner in C++
Thanks
June 9th, 2007 at 6:43 am
hi;
I am interssting to the neuronel network and I have not documentation
I want to replace the backpropagation algorithme by ACO (ant colony optimisation ) APi algorithme
(the Apicalis pachycondyla ant)
if you can help me by documentation on detaill
sorry I am not englich men if there is mistaks ;
thenk you
September 4th, 2007 at 10:36 am
sir
please help me in making forward backpropagation algorithm in MATlLAB or in C++/C
please Sir, its very urgent …. i want it in for pattern recognition /classification
hope so youn will reply me positivly
best regards
March 6th, 2008 at 1:52 pm
hello sir..
i want to implementation of AND gate in neural n/w like using BAM structure so pls suggest me what i will do?and pls give me source where any type of function is implemented by neural.
i want a structure which have
2 input BAM and one output.
so pls help me.
March 29th, 2008 at 12:55 am
sir…
i m doing final year project on LICENSE PLATE RECOGNITION SYSTEM.
can u kindly send me matlab 7.0 codes for it and i have to implement it in hardware model in pic microcontrooller..
so can u send me this all ..please i need it……
April 12th, 2008 at 5:35 am
i need to create a IDS(intrusion tdetection system) using neural networks…in matlab if possible…and i need some help…do you have some kind of prgram to generate such a NN or do you have a tutorial…or step by step course….anything…thanks…this system needs to detect any kind of intrusion from a virus to a simple overloading the computer…
April 15th, 2008 at 5:48 am
sir,
i want mat lab code for backpropagation neural network. it is necessary for classifying sound pattern. please help it is urgent…..
waiting for reply
thank you..