NN50.DLL 5.0
NN50.DLL NEURAL NETWORK
Artificial Neural Networks are computational paradigms which implement simplified models of their biological counterparts, biological neural networks. Biological Neural Networks are the local assemblages of neurons and their dendrite connections that form the brain. The implementation of Neural Networks for brain-like computations like patterns recognition, decisions making, motory control and many others is made possible by the advent of large scale computers in the late 1950`s. Conventional computers rely on programs that solve a problem using a pre-determined series of steps, called algorithms. These programs are controlled by a single, complex central processing unit, and store information at specific locations in memory. Artificial Neural Networks use highly distributed representations and transformations that operate in parallel, have distributed control through many highly interconnected neurons, and store their information in variable strength connections called synapses just like a human brain. To train a neural network you must have a data set containing sample parameters which corresponding to the results. The data used for training is usually obtained using historical data in which the outcomes are known. You can also train a neural network by creating sample problems and answers. Once the training process is completed, the neural network will be able to predict answers when new inputs are processed.
What is new in 5.0 software version? - Improved speed and accuracy. What is expected in the future? Newly-made NN50.DLL 5.1 be downloaded from current page, we also looking forward to unconfirmed 5.2 release build. You may download example.zip directly, estimated download time by ADSL2+ [~24.5 Mbit/s] is 0:00:16. Just write the reviews of the NN50.DLL. System requirements are 100mhz or faster. Program has been scanned and verified by the several antivirus and anti-spyware applications and NN50.DLL found to be clean. The following languages are supported by NN50.DLL: English.
