P/NA³™ Custom Process Models and Standard Interface

Neural Networks are an artificial intelligence approach which produces accurate models of complex, non-linear physical phenomena without requiring knowledge of the underlying properties. The P/NA³ Neural Network is a proprietary algorithm of EnergynTech which produces excellent models. The P/NA³ neural network architecture is capable of modeling countless non-linear manufacturing processes. Your model will be delivered in our standard interface which includes the Dynagraph™ 3D visualization tool, a standard slide bar interface to experiment with the dynamic interactions of your process, a visual representation (if available) and an extensive search capability. Additionally, custom visuals can be added. If you have any questions of how our models and processes can help you please Contact Us.

Diagram showing a comparison between a back propagation neural network trained to 20% error and the actual underlying function from which the training points have been derived.

Diagram showing a comparison between a back propagation neural network trained to 4% error and the actual underlying function from which the training points have been derived.  This neural network exhibits all of the symptoms of the classic “over training” or loss of generalization typical of back propagation neural networks.

Diagram showing a comparison between a P/NA³ neural network trained to 1% error and the actual underlying function from which the training points have been derived.  This neural network does not exhibit any of the symptoms of the classic “over training” or loss of generalization typical of back propagation neural networks