Training system for training a user in a predefined operation

A training system for training a user performing a predefined operation, to make a best decision based on previous best decisions made by skilled users in the predefined operation, the training system comprising:

• at least one processor coupled with a first storage module and a second storage module;
• the first storage module to store a first log of the decisions made by the skilled users during the predefined operation;
• a first pre-processing module in communication with the first storage module to pre-process the first log to generate a first multi-dimensional image array of each state of the predefined operation;
• a training module to train a model based on the first log at a predetermined state of the predefined operation, which is captured as the first multi-dimensional image array to generate a skilled strategy model;
• the second storage module to store a second log of decisions made by the user in the predefined operation;
• a second pre-processing module in communication with the second storage module to pre-process the second log to generate a second multi-dimensional image array;
• and
• a comparison module to compare the second multi-dimensional image array with the skilled strategy model to generate a prediction of the best decision to be made by the user.

A non-transitory computer program product to train a user in performing a predefined operation to make a best decision based on previous decisions made by skilled users in the predefined operation, when executed by a computer, the computer program product comprising programmed codes to:

• process stored instructions in a first storage module and a second storage module via at least one processor coupled with the first storage module and the second storage module;
• store, via the first storage module, a first log of the decisions made by the skilled users during the predefined operation;
• pre-process, via a first pre-processing module in communication with the first storage module, the first log to generate a first multi-dimensional image array of each state of the predefined operation;
• train, via a training module, a model based on the first log at a predetermined state of the predefined operation that is captured as the first multi-dimensional image array to generate a skilled strategy model;
• store, via the second storage module, a second log of decisions made by the user in the predefined operation;
• pre-process, via a second pre-processing module in communication with the second storage module, the second log to generate a second multi-dimensional image array;
• and
• compare, via a comparison module, the second multi-dimensional image array with the skilled strategy model to generate a prediction of the best decision to be made by the user.