Machine Learning Crystal Structure Prediction - Rebellion Research

ANNs was chosen because it is a subset of machine learning which is the heart of deep learning algorithms. Inspired by the human brain, ANNs mimic the way that biological neurons signal to one another. It is composed of a node layer, containing an input layer, one or more hidden layers, and an output layer. Each node, which is also called an artificial neuron, connects with the associated weight and threshold. The node is activated once the output of any individual node exceeds the specified threshold value and then sends data to the network's next layer. Otherwise, no data is passed to the next layer of the network.