neuraldl.com

Neural Decision Lab

Given numerical training data, nonlinear networks (including neural nets) learn how to map N-dimensional input vectors into M-dimensional output vectors. This makes nonlinear networks an ideal solution to a number of problems including pattern recognition, function approximation, data mining, and e-mail spam filtering. The diagram illustrates how our optimization system can use nonlinear networks to boost your application! Click here for a PowerPoint Presentation Describing our work. Subsetting: Finds go...

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Neural Decision Lab | neuraldl.com Reviews

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Given numerical training data, nonlinear networks (including neural nets) learn how to map N-dimensional input vectors into M-dimensional output vectors. This makes nonlinear networks an ideal solution to a number of problems including pattern recognition, function approximation, data mining, and e-mail spam filtering. The diagram illustrates how our optimization system can use nonlinear networks to boost your application! Click here for a PowerPoint Presentation Describing our work. Subsetting: Finds go...

<META> KEYWORDS

1 approximation

2 classification

3 feature selection

4 functional link net

5 machine learning

6 matlab neural network toolbox

7 MLP

8 multilayer perceptron

9 nearest neighbor

10 Neural

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background,software,testimonials,comparison,applications,services,links,data,multilayer perceptron,piecewise linear network,functional link network,nearest neighbor classifier,support vector machine,coming soon,self organizing map,feature selection,size

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Neural Decision Lab | neuraldl.com Reviews

https://neuraldl.com

Given numerical training data, nonlinear networks (including neural nets) learn how to map N-dimensional input vectors into M-dimensional output vectors. This makes nonlinear networks an ideal solution to a number of problems including pattern recognition, function approximation, data mining, and e-mail spam filtering. The diagram illustrates how our optimization system can use nonlinear networks to boost your application! Click here for a PowerPoint Presentation Describing our work. Subsetting: Finds go...

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neuraldl.com

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Neural Decision Lab

http://www.neuraldl.com/index.php

Given numerical training data, nonlinear networks (including neural nets) learn how to map N-dimensional input vectors into M-dimensional output vectors. This makes nonlinear networks an ideal solution to a number of problems including pattern recognition, function approximation, data mining, and e-mail spam filtering. The diagram illustrates how our optimization system can use nonlinear networks to boost your application! Click here for a PowerPoint Presentation Describing our work. Subsetting: Finds go...

2

Neural Decision Lab LLC

http://www.neuraldl.com/Software.php

Optimization system for Approximation/Regression Applications. Optimization system for Classification Applications. Levenberg-Marquardt method for training a single hidden layer MLP. First Windows 2000 version. Improved GUI and Help. First version to use DLLs. Additional Networks, improved utilities GUI and Installation. More efficient MLP Training, additional utilities. Greatly improved GUI and Help. Validation option included for Pruning. Testimonials from the Users. C - Source code.

3

Neural Decision Lab LLC

http://www.neuraldl.com/Services.php

I Design of Custom Software For. A Noise detection and removal ( Previous Customer: Abbott Labs. B Feature extraction ( Previous Customer: Abbott Labs. C Estimation ( Previous Customer: Mobil Oil. D Forecasting ( Previous Customer: ABB Network Management. E Image processing ( Previous Customer: UTSWMC. F Pattern recognition ( Previous Customer: NASA. G Neural networks ( Previous Customer: Williams Pyro. H Prognostics ( Previous Customer: Bell Helicopter Textron. A Adding options such as:.

4

Neural Decision Lab

http://www.neuraldl.com/Background.php

Neural Decision Lab LLC. Is a member of the Arlington Technology Incubator ( ATI. Associated with the University of Texas at Arlington ( UTA. The mission of the company is to commercialize software based upon research produced by the Image Processing and Neural Networks Lab. In the Department of Electrical Engineering. At UTA. Professor Mike Manry. Former and current students. Of the IPNNL work on projects for Neural Decision Lab on an as-needed basis. These include Dr. Walter Delashmit.

5

NeuralDL - FAQ

http://www.neuraldl.com/FAQ.php

1 Where can I find this software package on the internet? 2 What capabilities do your software packages have that differentiate them from those developed elsewhere? 3 Why do your MLP networks have bypass weights connecting the input and output layers? 4 Why do your MLP networks have linear output layer activations instead of sigmoids? 5 What size networks can be designed using this package? 6 Why do you have separate software packages for regression and classification networks? 19 Do you have any papers ...

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Neural Decision Lab

Given numerical training data, nonlinear networks (including neural nets) learn how to map N-dimensional input vectors into M-dimensional output vectors. This makes nonlinear networks an ideal solution to a number of problems including pattern recognition, function approximation, data mining, and e-mail spam filtering. The diagram illustrates how our optimization system can use nonlinear networks to boost your application! Click here for a PowerPoint Presentation Describing our work. Subsetting: Finds go...

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