International Business Machines Corporation

Donald W McCleary

Justin David Weisz

Sal M Rosato

Steven Hurley, Jr

Xiying Wang

Judith O Uchidiuno

Brody Wilson

According to one or more embodiments of the present invention, a computer-implemented method for adjusting a process variable using a closed loop system includes initializing a radial basis function neural network (RBF network) using a maximum error (e), a maximum first order change in error (Δe), a maximum second order change in error (Δe), and a maximum output increment (Δo), associated with the closed loop system being controlled. The method further includes inputting, to the RBF network, input values including an error, a first order change in error, and a second order change in error. The method further includes computing, by the RBF network, control parameters based on the input values, and computing, by the RBF network, an incremental change in the process variable based on the control parameters. The method further includes adjusting, by a controller, an output device to change the process variable by the incremental change.

Initialization of radial base function neural network nodes for reinforcement learning incremental control system

A method for detecting and notifying of various potential hazards may include receiving a plurality of biometric data values by a first set of sensors of a sensing device. The biometric data values may correspond to a health state of a person. A plurality of environmental data values may be received by a second set of sensors of the sensing device. The environmental data values may correspond to a safety state of an environment that the person is in. The sensing device may compare the plurality of biometric data and environmental data values against respective models of biometric and environmental threshold data values that indicate a likelihood of a person or environment in an unhealthy or unsafe state. The sensing device may notify one or more communication devices if at least one of the biometric or environmental data values exceeds at least one of the threshold data values.

Detecting and notifying of various potential hazards

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Denver, CO, United States of America

Donald W McCleary