Machine learning system and method for predicting launch windows

A method of decision making for launching a launch vehicle during a launch window, comprising:

• receiving input from a user through a graphical user interface (GUI) running on a first computer environment;
• preprocessing data, by the first computer processor environment;
• receiving input information, by a second computer processor environment, from the first computer processor environment;
• running at least partially trained neural network software, by a second computer processor environment, that has been trained to make a decision as to launch or not to launch a launch vehicle during a launch window;
• receiving data, by a third computer processor environment, the data being related to the output from the neural network of the second computer processor environment;
• and
• providing post processing, by a third computer processor environment, the post processing based on inputs received from a user through a GUI running on the third computer processor environment.

A launch window prediction system, comprising:

• a means for receiving input from a user through a graphical user interface (GUI) running on a first computer environment;
• a means for preprocessing data, by the first computer processor environment;
• a means for receiving input information, by a second computer processor environment, from the first computer processor environment;
• a means for running at least partially trained neural network software, by a second computer processor environment, that has been trained to make a decision as to launch or not to launch a launch vehicle during a launch window;
• a means for receiving data, by a third computer processor environment, the data being related to the output from the neural network of the second computer processor environment;
• and
• a means for providing post processing, by a third computer processor environment, the post processing based on inputs received from a user through a GUI running on the third computer processor environment.