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US 2014/0279770 A1Published application
Artificial neural network interface and methods of training the same for various use cases
AssigneeREMTCS Inc.
InventorsTommy Xaypanya, Richard E. Malinowski
Life of this patent
Estimating the term…
Abstract
An Artificial Neural Network Interface (ANNI) is disclosed along with use cases for the same. The ANNI utilizes one or more decision trees and/or probabilistic/combinatoric analysis to determine optimal responses to current conditions. The ANNI is also enabled to learn new conditions that are accepted as normal and, in response thereto, update the decision tree(s).
Claims20
A method, comprising:
- mining data related to conditions and variables of one or more events;
- based on the mined data, creating a decision tree that includes options for responding to each of the one or more events and probabilities of success for each of the options;
- and
- using an artificial intelligence agent to traverse the decision tree and, based on current conditions, determine, from the decision tree, a computer-selected optimal option for responding to the current conditions.
1 more element
A non-transitory computer-readable medium comprising processor-executable instructions that, when executed by a processor, perform a method, the method comprising:
- mining data related to conditions and variables of one or more events;
- based on the mined data, creating a decision tree that includes options for responding to each of the one or more events and probabilities of success for each of the options;
- and
- using an artificial intelligence agent to traverse the decision tree and, based on current conditions, determine, from the decision tree, a computer-selected optimal option for responding to the current conditions.
1 more element
A computing device, comprising:
- computer memory having instructions stored thereon, the instructions including an artificial neural network interface that is configured, when executed, to mine data related to conditions and variables of one or more events, based on the mined data, create a decision tree that includes options for responding to each of the one or more events and probabilities of success for each of the options, and then traverse the decision tree to automatically select an optimal option for responding to the current conditions;
- and
- a processor configured to read the instructions stored in the memory and execute the instructions including the artificial neural network interface.
Dependencies are inferred from the claim text.