On-line training neural network for process control

Abstract From the Canadian patent

An on-line training neural network for process control system and method trains by retrieving training sets from the stream of process data. The neural network detects the availability of new training data, and constructs a training set by retrieving the corresponding input data. The neural network is trained using the training set. Over time many, training sets are presented to the neural network. When multiple presentations are needed to effectively train, a buffer of training sets is filled and update as new training data becomes available. The size of the buffer is selected in accordance with the training needs of the neural network. Once the buffer is full, a new training set bumps the …