1
Richard D Skeirik: Neural network process measurement and control. E I Du Pont de Nemours and Co, Sterne Kessler Goldstein & Fox, January 25, 1994: US05282261 (214 worldwide citation)

A computer neural network process measurement and control system and method uses real-time output data from a neural network to replace a sensor or laboratory input to a controller. The neural network can use readily available, inexpensive and reliable measurements from sensors as inputs, and produc ...


2
Richard D Skeirik: On-line process control neural network using data pointers. E I Du Pont de Nemours & Co, Sterne Kessler Goldstein & Fox, November 24, 1992: US05167009 (174 worldwide citation)

An on-line process control neural network using data pointers allows the neural network to be easily configured to use data in a process control environment. The inputs, outputs, training inputs and errors can be retrieved and/or stored from any available data source without programming. The user of ...


3
Richard D Skeirik: On-line training neural network system for process control. E I Du Pont de Nemours & Co, Sterne Kessler Goldstein & Fox, May 18, 1993: US05212765 (167 worldwide citation)

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 ...


4
Richard D Skeirik: Neural network/expert system process control system and method. E I du Pont de Nemours & Co, Sterne Kessler Goldstein & Fox, June 9, 1992: US05121467 (166 worldwide citation)

A neural network/expert system process control system and method combines the decision-making capabilities of expert systems with the predictive capabilities of neural networks for improved process control. Neural networks provide predictions of measurements which are difficult to make, or superviso ...


5
Richard D Skeirik: Process control system with reconfigurable expert rules and control modules. Du Pont de Nemours and Company, Saidman Sterne Kessler & Goldstein, April 9, 1991: US05006992 (164 worldwide citation)

An integrated system for process control in which a process supervisor procedure (which is preferably the top-level procedure) is configured as a modular software structure, with modules which can be revised by a user at any time, without significantly interrupting the operation of the process super ...


6
Richard D Skeirik: Process control system with on-line reconfigurable modules. E I Du Pont de Nemours and Company, Saidman Sterne Kessler & Goldstein, October 23, 1990: US04965742 (157 worldwide citation)

An integrated system for process control in which a process supervisor procedure (which is preferably the top-level procedure) is configured as a modular software structure with modules which can be revised by a user at any time, without significantly interrupting the operation of the process superv ...


7
Richard D Skeirik: Computer neural network supervisory process control system and method. E I du Pont de Nemours & Co, Sterne Kessler Goldstein & Fox, August 25, 1992: US05142612 (152 worldwide citation)

A neural network for adjusting a setpoint in process control replaces a human operator. The neural network operates in three modes: training, operation, and retraining. In operation, the neural network is trained using training input data along with input data. The input data is from the sensor(s) m ...


8
Richard D Skeirik: Computer neural network regulatory process control system and method. E I Du Pont de Nemours & Co, Sterne Kessler Goldstein & Fox, March 23, 1993: US05197114 (141 worldwide citation)

A computer neural network regulatory process control system and method allows for the elimination of a human operator from real time control of the process. The present invention operates in three modes: training, operation (prediction), and retraining. In the training mode, training input data is p ...


9
Richard D Skeirik: Process control system with multiple module sequence options. E I Du Pont de Nemours & Co, Saidman Sterne Kessler & Goldstein, March 20, 1990: US04910691 (139 worldwide citation)

An integrated system for process control in which a process supervisor procedure (which is preferably the top-level procedure) is configured as a modular software structure, with modules which can be revised by a user at any time without significantly interrupting the operation of the process superv ...


10
Richard D Skeirik: On-line process control neural network using data pointers. E I Du Pont de Nemours & Co, Sterne Kessler Goldstein & Fox, June 29, 1993: US05224203 (132 worldwide citation)

An on-line process control neural network using data pointers allows the neural network to be easily configured to use data in a process control environment. The inputs, outputs, training inputs and errors can be retrieved and/or stored from any available data source without programming. The user of ...