NN50.DLL

NN50.DLL 5.0

NN50.DLL 5.0 Image
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Category: Development Tools
Publisher / Version: RG Software Corporation / 5.0
Added / Released: 26 Aug 2004 / 01 Jan 2000
License / Cost: Demo / 240.00$
File Size / Downloads: 62.5 KB / 56
Operating Systems: Windows 3.x, 95, 98, Me, NT, 2000, CE, MS-DOS
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.

Requirements: 100mhz or faster

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Support Languages: English
Install Support: Install and Uninstall

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Keywords:
A.I., Algorithm Software, Artificial Inteligence, Data Mining, Data Mining Algorithms, Data Mining Case Study, Data Mining Definition, Data Mining Technique, Data Mining Tutorial, Data Mining Tutorials, Encryption Algorithm, Genetic Algorithm, Neural, Neural Network, Nn, Pattern Design Software, Pattern Recognition, Rsa Encryption Algorithm

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