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NN50.DLL 5.0
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License:
Demo ($240)
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Latest Version:
5.0
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Editors' Review:
Not yet reviewed
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Updated:
Jan 01, 2000
- Publisher:
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Platform:
Windows
- Category:
- Subcategory:
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File size:
48.83 Mb
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Downloads:
308
Author's Description
NN50.DLL - 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.
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.
NN50.DLL 5.0 is licensed as Demo for the Windows operating system / platform. NN50.DLL is provided as a free to try download for all software users (Demo).
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Download Notice
NN50.DLL is periodically updated by FileCluster but you may encounter situations when the software informations are slightly out-of-date, the developer can modify this product without notifying us. Version [5.0] is currently the latest updated version of the software.
Any form of support or software problems will be addressd directly to its developers, RG Software Corporation. Please be aware that we do NOT provide NN50.DLL cracks, serial numbers, registration codes or any forms of pirated software downloads.
Any form of support or software problems will be addressd directly to its developers, RG Software Corporation. Please be aware that we do NOT provide NN50.DLL cracks, serial numbers, registration codes or any forms of pirated software downloads.
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