EasyNN
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EasyNN Editor's Review
ANN (Artificial Neural Networks) is inspired by biology. Specially, they use thoughts from the way in which the brain of human works. The brain of human is poised of extraordinary cells known as neurons. Estimation of the total neurons number in the brain of human cover a broad range, and there are over a hundred different types of neurons, divided into different groups known as networks. The entire network comprises different thousand neurons which are very much interconnected. Therefore, the brain can be analysis as the neural networks collection. At the present time ANNs, whose program is referred to as the neural calculation, use an extremely narrow set of ideas from the systems of biological neural. The intention is to replicate massive parallel procedures, which involve processing rudiments unified in the architecture of network. This neuron gets inputs similar to the electrochemical biological neurons impulses get from any other neurons. The result of the artificial neuron matches to sent signals from a biological neuron. On the other hand, these signals can be transformed, like the signals from the brain of human. Neurons in the ANN accept information from any other neurons or from outside source, process or transform the necessary information, and convey it on to any other neurons or as outside outputs. The way in which the ANN processes data based on its arrangement and on the used algorithm to process the details. The rate of this type of network technology contains its value for recognition the pattern, learning, as well as the understanding of unfinished and "loud" inputs. On the other hand, these networks have the prospective to give some of the characteristics related to human of problem solving that are tough to simulate utilizing the analytical, logical techniques of DSS or also specialist systems. One of these important characteristics is recognition the pattern. This type of networks can examine huge quantities of information to establish characteristics and patterns in conditions where the rules and logic are not acknowledged.
Further than its function as the option computing mechanism, and in the mining of data, neural computing can be merged with some other information based on computer information systems to make controlling hybrid systems. This type of computing is rising as a useful technology in the recognition of pattern. This skill is being interpreted to many programs and is sometimes incorporated with blurry logic.
EasyNN is best and effective system of neural network for Microsoft Windows. It creates the formation of neural networks simple. It permits the user to make multilayer system of neural networks from a network or from the text format files. The user may make training, querying and validating files utilizing the facilities in the EasyNN or utilizing any other editor, spreadsheet or word processor, which supports text format files. It can study from training information and can self authenticate while learning. It may be doubted from a file or interactively. This software can make spreadsheet such as results and output files. The entire diagrams and graphs are reorganized throughout querying and training so the user can observe how the system of neural networks is functioning.
Rating: 4/5
EasyNN Publisher's Description
EasyNN is a neural network system for Microsoft Windows. It makes the creation of neural networks easy. It allows the user to produce multilayer neural networks from a grid or from text files. The user can produce training, validating and querying files using the facilities in EasyNN or using any editor, word processor or spreadsheet that supports text files. EasyNN can learn from training data and can self validate while learning. It can be queried from a file or interactively. EasyNN can produce spreadsheet like output and results files. All graphs and diagrams are updated during training and querying so the user can see how the neural networks are working.
Free download from Shareware Connection - EasyNN is a neural network system for Microsoft Windows. It makes the creation of neural networks easy. It allows the user to produce multilayer neural networks from a grid or from text files.
Version: 8.0 | Size: 1132 KB | Platform: Win2000, WinOther
Released Date: 04-08-2001 | Rating: 5 | Title: EasyNN
Author Url: http://www.easynn.com
Program Info Url: http://www.easynn.com
Download Url: http://www.easynn.com
Screenshot Url: http://www.easynn.com/easynn.jpg
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