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Are you an engineer, scientist or graduate student looking for a graphing tool that will allow you to quickly analyze graphed data without having to immerse yourself into calculus and statistics books? You've just found the perfect solution. FindGraph is a comprehensive, feature-rich graphing, digitizing and curve fitting software specially created for these purposes. Take any graph or data from any source (Web or PDF document, for example) add your comments and perform any manipulations, like building approximation lines. Then print your results or export them to Excel or other database. The program comes with a straightforward interface, 200 built-in common graphing functions (like Cardioid, Devil's Curve, or Double Folium), support for Polar, Cartesian, and Parametric equations, various data input/export features and printing options.
Built-in Wizard of Digitization will help you to digitize the data. One of the major features FindGraph provides is an easy way to do curve fitting. The program offers 10 generic fits, including Linear Regression, Logistic Functions, Fourier approximation, Neural Networks plus a library of over 120 industry-specific formulas. Built-in Wizard of Approximation helps applying different curve fits to discover the model that describes data the best. The software also enables users to smooth, subtract, differentiate, integrate, and transform data and curves.
Most importantly, FindGraph provides an easy way to copy and paste (embed) graphs to other software applications, like word processors, MS Excel or image editors. Moreover, the program supports OLE automation and can be built-in to other software applications. Best of all, FindGraph is free to try. You can test the software at no charge for the entire length of trial period - 30 Days! If you have any questions about implementing the software in your classroom or want to inquire about special low prices for academic institutions, don't hesitate to contact us.
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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, volatility, stochastic, oscillator, ...), the training and testing periods, the delay of the trade, etc., and generates detailed reports and graphics. Up to three variables per model.
Building a predictor is extremely easy: first you load the data from the Web or from your MetaStock data. Then, you choose your objective, specify your predicting variables and launch the automatic training. After some minutes, you will have the results of your prediction and the reports of the expected returns.
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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, volatility, stochastic, oscillator, ...), the training and testing periods, the delay of the trade, etc., and generates detailed reports and graphics. Up to three variables per model.
Building a predictor is extremely easy: first you load the data from the Web or from your MetaStock data. Then, you choose your objective, specify your predicting variables and launch the automatic training. After some minutes, you will have the results of your prediction and the reports of the expected returns.
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Freeware for fast development and application of classification type networks including the multilayer perceptron (MLP), functional link network, piecewise linear network, nearest neighbor classifier (NNC), self organizing map (SOM) and K-Means clustering. C source code for applying trained networks is provided, so users can use networks in their own applications. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Example training data is also provided. Fast VB Graphics for network classification error and SOM cluster formation are included. Extensive help files are provided in the software.
Although principally aimed at scientists and engineers, Nuclass7 is highly automated and requires very few parameter choices by the user. Advanced features include a fast MLP training algorithm (faster than BP and better than LM), input feature selection, pruning (elimination) of useless units (for MLP) and modules for PLN). Utilities are provided for counting patterns, deleting columns, combining files, splitting files, calculating column mean and standard deviation, and plotting column histograms. Training data can be compressed using the discrete Karhunen-Loeve' transform (KLT). This freeware version of Nuclass7 limits the MLP to 10 hidden units, the PLN to 10 clusters, and the NNC to 50 clusters. The commercial version, which lacks these limitations, is also available for those who need it. The regression/approximation version of this software, called Numap7, is also available. Nuclass7 was developed by the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington.
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Freeware for fast development and application of regression/approximation networks including the multilayer perceptron (MLP), functional link network, piecewise linear network, self organizing map (SOM) and K-Means clustering. C source code for applying trained networks is provided, so users can use networks in their own applications. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Example training data is also provided. Fast VB Graphics for network training error and SOM cluster formation are included. Extensive help files are provided in the software.
Although principally aimed at scientists and engineers, Numap7 is highly automated and requires very few parameter choices by the user. Advanced features include a fast MLP training algorithm (faster than BP and better than LM), input feature selection, pruning (elimination) of useless units (for MLP) and modules for PLN). Utilities are provided for counting patterns, deleting columns, combining files, splitting files, calculating column mean and standard deviation, and plotting column histograms. Training data can be compressed using the discrete Karhunen-Loeve' transform (KLT). This freeware version of Numap7 limits the MLP to 10 hidden units and limits the PLN to 10 clusters. The commercial version, which lacks these limitations, is also available for those who need it. The classification (decision making) version of this software, called Nuclass7, is also available. Numap7.0 was developed by the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington
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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.
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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. EasyNN-plus can learn from training data and can self validate while learning. It can be queried from a file or interactively. EasyNN-plus 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.
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This installation program includes evaluation versions of three products for neural network design and development: NeuroSolutions, NeuroSolutions for Excel and the Custom Solution Wizard. NeuroSolutions is a highly graphical neural network development tool for Windows 95/98/Me/NT/2000. 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. NeuroSolutions for Excel is a Microsoft Excel add-in that can be used in conjunction with NeuroSolutions to simplify and enhance the process of getting data in and out of the network. The Custom Solution Wizard is a program that will take any neural network created with NeuroSolutions and automatically generate and compile a Dynamic Link Library (DLL) for that network, which you can then embed into your own application.
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The NeuroSolutions for MATLAB neural network toolbox is a valuable addition to MATLAB's technical computing capabilities allowing users to leverage the power of NeuroSolutions (www.neurosolutions.com) inside MATLAB and Simulink. The toolbox features 15 neural models, 5 learning algorithms and a host of useful utilities integrated in an easy-to-use interface, which requires ?next to no knowledge? of neural networks to begin using the product. The toolbox is also integrated with NeuroSolutions, which enables users to build custom networks in NeuroSolutions and use it inside Matlab using the NeuroSolutions for Matlab interface. The free evaluation edition of NeuroSolutions for MATLAB includes several demos that will walk you step-by-step through the product. In addition, you can experiment with all of the features of this product using your own data. See how easy it is to solve your problems using neural networks inside the MATLAB environment.
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TradingSolutions is a financial analysis software package that combines traditional technical analysis with state-of-the-art artificial intelligence technologies. Use any combination of financial indicators in conjunction with advanced neural networks and genetic algorithms to create end-of-day or real-time trading models that are remarkably effective, especially in today's volatile markets. TradingSolutions' user-friendly interface allows you to perform complex financial forecasting without leaving you lost in the technology. Simple wizards guide you step-by-step through each task, while optional advanced panels give you the flexibility to adjust parameters behind the scenes. New to version 2.0 is a free Solution Service, which includes 10 neural network models and the end-of-day stock data for those models so that you can obtain the daily trading signals and track the performance in real time. This powerful trading tool allows you to 1) Download data directly from the Internet or import from a variety of other sources, 2) Get up and running fast with animated demonstrations and step-by-step tutorials, 3) Perform calculations on a single security or multiple securities at once, 4) Model optimal actions and predict future prices with exclusive time-based neural networks, 5) Implement your own functions, systems, and complete trading solutions, 6) Evaluate trading models for profit potential using historical backtesting, 7) Optimize your models for maximum profit. Please visit www.tradingsolutions.com to download a FREE evaluation copy of TradingSolutions or call 1-800-NDIDEAS for more information.
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