Steven Hurley, Jr

Title: Innovations of Steven Hurley, Jr.

Introduction

Steven Hurley, Jr. is an accomplished inventor based in Denton, TX (US). He has made significant contributions to the field of technology, particularly in the areas of neural networks and predictive modeling. With a total of 3 patents to his name, Hurley continues to push the boundaries of innovation.

Latest Patents

One of his notable patents is titled "Initialization of radial base function neural network nodes for reinforcement learning incremental control system." This invention outlines a computer-implemented method for adjusting a process variable using a closed-loop system. The method involves initializing a radial basis function neural network (RBF network) with various parameters associated with the controlled system. It includes inputting values such as error and changes in error, computing control parameters, and adjusting an output device to change the process variable accordingly.

Another significant patent is "Prediction model enhancement." This invention presents an enhanced prediction model that utilizes product life cycle segmentation and historical prediction data to generate more accurate future failure rates. The input data is segmented based on failure modes, and a prediction model like Weibull analysis is implemented for each group. The historical prediction data is also segmented, and the parameters are compared to adjust the prediction parameters for improved accuracy.

Career Highlights

Steven Hurley, Jr. is currently employed at International Business Machines Corporation (IBM), where he applies his expertise in technology and innovation. His work focuses on developing advanced systems that enhance operational efficiency and predictive capabilities.

Collaborations

Throughout his career, Hurley has collaborated with talented individuals such as Lu Liu and Sia Kai Julian Tan. These collaborations have contributed to the successful development of his innovative projects.

Conclusion

Steven Hurley, Jr. is a prominent inventor whose work in neural networks and predictive modeling has made a significant impact in the technology sector. His patents reflect his commitment to advancing innovation and improving system efficiencies.