1
James D Keeler, John P Havener, Devendra Godbole, Ralph B Ferguson: Virtual continuous emission monitoring system with sensor validation. Pavilion Technologies, Gregory M Howison, January 31, 1995: US05386373 (209 worldwide citation)

A continuous emission monitoring system for a manufacturing plant (10) includes a control system (16) which has associated therewith a virtual sensor network (18). The network (18) is a predictive network that receives as inputs both control values to the plant (10) and also sensor values. The netwo ...


2
James D Keeler, John P Havener, Devendra Godbole, Ralph B Ferguson II: Virtual emissions monitor for automobile. Pavilion Technologies, Gregory M Howison, July 23, 1996: US05539638 (154 worldwide citation)

An internal combustion engine [(360)] is provided with a plurality of sensors to monitor the operation thereof with respect to various temperature measurements, pressure measurements, etc. A predictive model processor [(322)] is provided that utilizes model parameters stored in the memory [(324)] to ...


3
James D Keeler, John P Havener, Devendra Godbole, Ralph B Ferguson: Virtual continuous emission monitoring system. Pavilion Technologies, Gregory M Howison, August 20, 1996: US05548528 (144 worldwide citation)

A continuous emission monitoring system for a manufacturing plant (10) includes a control system (16) which has associated therewith a virtual sensor network (18). The network (18) is a predictive network that receives as inputs both control values to the plant (10) and also sensor values. The netwo ...


4
James D Keeler, Eric J Hartman, Kadir Liano, Ralph B Ferguson: Residual activation neural network. Pavilion Technologies, Ross Howison Clapp & Korn, October 4, 1994: US05353207 (114 worldwide citation)

A plant (72) is operable to receive control inputs c(t) and provide an output y(t). The plant (72) has associated therewith state variables s(t) that are not variable. A control network (74) is provided that accurately models the plant (72). The output of the control network (74) provides a predicte ...


5
James D Keeler, Eric J Hartman, Steven A O Hara, Jill L Kempf, Devendra B Godbole: Method and apparatus for preprocessing input data to a neural network. Pavilion Technologies, Gregory M Howison, March 17, 1998: US05729661 (103 worldwide citation)

A preprocessing system for preprocessing input data to a neural network includes a training system for training a model (20) on data from a data file (10). The data is first preprocessed in a preprocessor (12) to fill in bad or missing data and merge all the time values on a common time scale. The p ...


6
James D Keeler, Eric J Hartman, Kadir Liano, Ralph B Ferguson: Residual activation neural network. Pavilion Technologies, Gregory M Howison, September 24, 1996: US05559690 (87 worldwide citation)

A plant (72) is operable to receive control inputs c(t) and provide an output y(t). The plant (72) has associated therewith state variables s(t) that are not variable. A control network (74) is provided that accurately models the plant (72). The output of the control network (74) provides a predicte ...


7

8
James D Keeler, Eric J Hartman: Neural network with semi-localized non-linear mapping of the input space. Microelectronics and Computer Technology Corporation, Ross Howison Clapp & Korn, May 12, 1992: US05113483 (63 worldwide citation)

A neural network includes an input layer comprising a plurality of input units (24) interconnected to a hidden layer with a plurality of hidden units (26) disposed therein through an interconnection matrix (28). Each of the hidden units (26) is a single output that is connected to output units (32) ...


9
James D Keeler, Eric J Hartman, Steven A O Hara, Jill L Kempf, Devandra B Godbole: Predictive network with learned preprocessing parameters. Pavilion Technologies, Gregory M Howison, December 26, 1995: US05479573 (55 worldwide citation)

A predictive network is disclosed for operating in a runtime mode and in a training mode. The network includes a preprocessor (34') for preprocessing input data in accordance with parameters stored in a storage device (14') for output as preprocessed data to a delay device (36'). The delay device (3 ...


10
James D Keeler, Eric J Hartman, Steven A O Hara, Jill L Kempf, Devendra B Godbole: Predictive network with learned preprocessing parameters. Howison Chauza Handley & Arnott L, November 7, 2000: US06144952 (52 worldwide citation)

A predictive network is disclosed for operating in a runtime mode and in a training mode. The network includes a preprocessor (34') for preprocessing input data in accordance with parameters stored in a storage device (14') for output as preprocessed data to a delay device (36'). The delay device (3 ...