Control system with neural network trained as general and local

Details Control system with neural network trained as general and local Control system with neural network trained as general and local

1995-06-06

1996-12-17

Park, Collin W.

Boots, shoes, and leggings

364150, 364151, 395 23, 395904, 460 1, G06F 1518

Patent

active

055860338

ABSTRACT:
A neural network is trained with a general set of data to function as a general model of a machine or process with local condition inputs set equal to zero. The network is then retrained or receives additional training on an extentd data set containing the general set of data, characterized by zero values for the local condition inputs, and data on specific local conditions, characterized by non-zero values for the local condition inputs. The result is a trained neural network which functions as a general model when the inputs for the local conditions inputs are set equal to zero, and which functions as a model of some specific local condition when the local condition inputs match the encoding of the some local data set contained within the training data. The neural network has an architecture and a number of neurons such that its functioning as the local model is partially dependent upon its functioning as the general model. This trained neural network is combined with sensors, actuators, a control and communications computer and with a user interface to function as combine control system.

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