Modifying data cleansing techniques for training and validating an artificial neural network model

A system for modifying data cleansing techniques for training and validating an Artificial Neural Network (ANN) model, the system comprising:

• a memory;
• and
• a processor coupled to the memory, wherein the processor is capable of executing instructions to perform steps of:
• normalizing and validating data collected in different formats from different data sources;
• training the ANN model using the normalized and validated data;
• generating ANN stochastic data using the trained ANN model;
• and
• reusing data validation component of a deterministic data model used for the normalizing and the validating of the data, for validating the ANN stochastic data.

A non-transitory computer program product having embodied thereon a computer program for modifying data cleansing techniques for training and validating an Artificial Neural Network (ANN) model, the computer program product storing instructions for:

• normalizing and validating data collected in different formats from different data sources;
• training the ANN model using the normalized and validated data;
• generating ANN stochastic data using the trained ANN model;
• and
• reusing data validation component from a deterministic data model used for the normalizing and the validating of the data, for validating the ANN stochastic data.