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NeuroDiet learns how the foods you eat are related to your health symptoms
Create train validate query neural networks import plain text or images
Flexible and graphical neural network development tool with genetic optimization
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NeuroDiet is a neural network application that learns how the foods you eat are related to your health and fitness. All the neural network functions are managed automatically. You don't need to know anything about neural networks. All you need to do is tell NeuroDiet how your symptoms are changing and which foods you are eating. Every day NeuroDiet will produce a list of foods that may be causing problems with your health and fitness.
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EasyNN-plus 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 and images. The user can produce training, validating and querying files using the facilities in EasyNN-plus or using any editor, word processor or spreadsheet that supports text files.
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NeuroSolutions is a highly graphical neural network development tool for Windows. This leading edge software combines a modular, icon-based network design interface with an implementation of advanced learning procedures, such as recurrent backpropagation, backpropagation through time and genetic optimization. The result is a virtually unconstrained environment for designing neural networks for research or to solve real-world problems.
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QwikNet is a powerful yet easy to use artificial neural network development package. QwikNet offers a flexible and intuitive interface that allows the ability to design, train and test neural networks in a graphical environment. Creating custom applications with QwikNet is easy. Just design your network using the graphical interface and then save it in one of several popular formats including; C/C++, Pascal or Matlab...
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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...
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Freeware for fast training, validation, and application of neural and conventional classifiers including multilayer perceptron, functional link network, piecewise linear network, self organizing map and K-Means. C source provided for applying trained networks. Extensive help, utilities for pre-processing and file handling, and training data provided. User-supplied txt-format training data files, containing rows of numbers, can be of any size.
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FullRecall helps memorize knowledge effectively. Uses artificial neural network, which gradually grasps user forgetting curve, to schedule the optimal time for an item to come up for review.
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SprinN, Capital Markets Predictions with Neural Networks. SprinN, the best prediction tool based on Artificial Intelligence techniques (Artificial Neural Networks), gives you accurate open, hold and close recommendations for your investments in the Capital Markets. Both long and short operations are available. SprinN lets you select the risk of your operations, the commissions, the influence of technical analysis indicators (moving average, vol..
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Goldengem is a general purpose Neural Network. It is a simple no-nonsense program, containing a sophisticated mathematical calculation, which is being successfully used by an increasing number of traders. Its StockDownloader downloads free data. Choose tickers, in capitals, separated by commas that may influence the price you wish to analyze. Load a set of related tickers from the internet. Select number of days to look ahead.
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OpenDiscreteDynamicProgrammingTemplate : founds optimal constrainted parameters of a discrete controls with second order optimization template replacing Hessian with directional derivatives and backpropagation for digital filter(as neural network)
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