Download Freeware NN50.DLL 5.0

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LicenceDemo
Released01 01 2000
Supported OSWin 3.1x, Win95, Win98, WinME, WinNT 3.x, WinNT 4.x, Windows2000, Windows CE, MS-DOS
Requirements100mhz or faster
LanguagesEnglish
Limitations
Made inUSA
Support e-mailsupport@rgsoftware.com

RG Software Corporation |   Free Download 0.06 Mb

NN50.DLL Description:

NN50.DLL is Demo program for Windows developed by RG Software Corporation

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 conformation the intellect. The implementation of Neural Networks after brain-like computations like patterns recognition, decisions making, motory steer and myriad others is made possible by the advent of stout scale computers in the late 1950's. Conventional computers rely on programs that untangle a question using a pre-determined series of steps, called algorithms. These programs are controlled by a unattached, complex central processing unit, and store data at particular locations in recollection. Artificial Neural Networks use tremendously distributed representations and transformations that direct in parallel, obtain distributed steer through myriad tremendously interconnected neurons, and store their data in changing strength connections called synapses Ц impartial like a anthropoid intellect. To train a neural arrangement you must obtain a statistics set containing sample parameters which corresponding to the results. The statistics worn after training is commonly obtained using historical statistics in which the outcomes are known. You can also train a neural arrangement by creating sample problems and answers. Once the training process is completed, the neural arrangement will be qualified to predict answers when new inputs are processed.

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Pattern recognitionNeuralData miningArtificial inteligenceGenetic algorithmA iNeural network

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