NN50.DLL : NN50.DLL Neural Network
NN50.DLL 5.0
Quick Description: (Read All)
NN50.DLL Neural Network - True A.I. software that actually thinks!

Primary Download - Size: 106 KB
File Ping Time (less is better): 437 ms

Secondary Download - Size: 106 KB
File Ping Time (less is better): 441 ms  

Category: Education (Rank: 188 / 567): Science (Rank: 7 / 31)
Downloads: 1234 This Week (Rank: 4,628 / 15,688) / 4937 Total (Rank: 8,598 / 15,688)
Developer: RG Software Corporation
Software Home Page:
License Type: Demo ($240.00)
Language: English
Most Recent File Validation (?): Tue, February 5th, 2008 7:21 AM CST
OS: Win 3.1x,Win95,Win98,WinME,WinNT 3.x,WinNT 4.x,Windows2000,Windows CE,MS-DOS - Install and Uninstall.
System Requirements: 100mhz or faster

Full Description:
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.

Screenshot: (Source: - Ping: 413 ms - Size: 6 Kb (?)
NN50.DLL - NN50.DLL Neural Network

Keywords: neural, network, genetic, algorithm, artificial, inteligence, data, mining, pattern, recognition

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