US Patent 11010657 Data engines based on neural network configurations

Various systems, mediums, and methods may involve data engines configured to generate results associated with one or more entities based on neural network configurations. An exemplary system includes a data engine with a training module, a working module, an incremental training module, and a neural network. The data engine may process data associated with the one or more entities and transfer the processed data to an input layer of the neural network. Further, outputs from the input layer may be transferred to a hidden layer of the neural network. Yet further, outputs from the hidden layer may be transferred to an output layer of the neural network. As such, one or more results may be generated from an output layer of the neural network. The one or more results may include an assessment score of the one or more entities.