Before revision: With the improvement of  pattern recognition and feature extraction of Deep Neural Networks ( DNNs), more and more problems are attempted to solve from the view of images . Recently, a Reconstructive Neural Network (ReConNN) was proposed to obtain an image-based model from an analysis-based model , which can help us to solve many high frequency problems with difficult sampling, e.g. sonic wave and collision.
After revision: With the improvement of pattern recognition and feature extraction of Deep Neural Networks ( DPNNs), image-based design and optimization have been widely used in multidisciplinary researches . Recently, a Reconstructive Neural Network (ReConNN) was proposed to obtain an image-based model from an analysis-based model , which can help us to solve many high frequency problems with difficult sampling, e.g. sonic wave and collision.