Home (Neural computing)

 Artificial Intelligence 

  » »

Neural computing

Artificial Intelligence  Neural coding  Neural fuzzy system

Neural computing began with the development of the McCulloch-Pitts network in the 1940's (McCulloch and Pitts, 1943; Luger and Stubblefield, 1993).

Neural Computing and Applications, Springer-Verlag. (address: Sweetapple Ho, Catteshall Rd., Godalming, GU7 3DJ)
There's a lot of books on Neural Computing. See the FAQ above for a much longer list.

The machine possesses simultaneous memory storage and work with ambiguous information (See Neural Computing).
Associative Memory - The ability to recall complete situations from partial information.
Back-propagation - The best-known learning algorithm in neural computing.

formulation: neural computing and emerging technologies, Pharm.Sci and
Tech. Today, 1998, 1,200-205.
Subramanian.N, Yajnik.A and Murthy.R.S.R, Artifical neural network as an
alternative to multiple regression analysis in optimizing formulation parameters ...

This part describes single layer neural networks, including some of the classical approaches to the neural computing and learning problem.

Misra, M. (1996). Parallel Environments for Implementing Neural Networks. Neural Computing Surveys, 1, 48-60.
Sulaiman, M. N., and Evans, D. J. (1996). NEUCOMP2 - Parallel Neural Network Compiler. Malaysian Journal of Computer Science, 9(2), 54-70.

If successful, these effort could usher in a new era of neural computing that is a step beyond digital computing, ...

See also: See also: Neural network, Networks, Process, Algorithm, Neuron

Artificial Intelligence  Neural coding  Neural fuzzy system

RSS Mobile