NeurApp (Neural Approximate) is a super easy-to-use app that helps you dive into approximation with artificial neural networks, or ANNs for short. It’s got a friendly GUI powered by IGLib, so you can work with both 1D and 2D models without a hitch. You can set your parameters and even plot your results right there!
You won’t have to mess around with any tricky setups! Just unzip the downloaded file, double-click the .exe, and boom—you’re in the main app window. Just keep in mind that you need to have .NET Framework or Mono installed on your computer for it to work.
The interface features a big window divided into two tabs, making it easy to configure settings for both 1D and 2D approximations. In 1D mode, you can pick a function defined by you and adjust the number of training samples along with their limits.
If you're working in 2D approximation mode, you can pinpoint training points on the X and Y axes. Plus, you can tweak how those points are visualized along with graphs for the original data, approximations, and contours.
No matter which mode you're using, you can set error values like maximum and RMS for training and verification. You’ll also have options to enter the number of neurons in hidden layers, max epochs, learning rates, momentum values, and even input/output safety factors!
Once everything’s set up in NeurApp, training your network is as simple as clicking a button. And if things go awry? No worries—you can reset everything to its defaults and start fresh!
In our tests on Windows 10, NeurApp ran smoothly without hogging your computer's resources. It quickly generated neural network models that meet your needs.
All things considered, NeurApp is an excellent option if you're looking to create ANN models based on simple 1D or 2D approximations.
Go to the Softpas website, press the 'Downloads' button, and pick the app you want to download and install—easy and fast!
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