Prediction of parameter values in project systems

A computer-implemented method for prediction of parameter values, the method comprising:

• receiving a training dataset input including user-defined parameters for a project in a first set of nodes in a project system, wherein the first set of nodes is initialized with pre-defined bias values;
• associating pre-defined weights to edges connecting the first set of nodes and a second set of nodes;
• generating output of the first set of nodes by providing the user-defined parameters as input to an activation function in the first set of nodes;
• generating output of the second set of nodes by providing a first weighted sum of inputs to an activation function in the second set of nodes;
• computing output of a final node as a predicted parameter value by providing a second weighted sum of inputs to a derivative of an activation function in the final node;
• and
• displaying the predicted parameter value in a user interface in the project system.

A computer system for prediction of parameter values in project system, comprising:

• a computer memory to store program code;
• and
• a processor to execute the program code to:
• receive a training dataset input including user-defined parameters for a project in a first set of nodes in a project system, wherein the first set of nodes is initialized with pre-defined bias values;
• associate pre-defined weights to edges connecting the first set of nodes and a second set of nodes;
• generate output of the first set of nodes by providing the user-defined parameters as input to an activation function in the first set of nodes;
• generate output of the second set of nodes by providing a first weighted sum of inputs to an activation function in the second set of nodes;
• compute output of a final node as a predicted parameter value by providing a second weighted sum of inputs to a derivative of an activation function in the final node;
• and
• display the predicted parameter value in a user interface in the project system.