Read more about HSC Chemistry software
The HSC Data processing module is made for visualizing, analyzing, and transforming raw data, as well as converting this data into models.
The HSC Data module features make it possible to train a neural network model which could predict unknown results based on the experimental data. There are two types of neural networks that can be trained by this module: Feedforward Neural Network (FFNN) and Random Neural Network (RNN). Additionally, Charts and Particle Swarm Optimizer (PSO) options are provided.