Sooseong-gu Taegu, South Korea

Ho-sun Chung


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 1998

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1 patent (USPTO):Explore Patents

Title: Ho-sun Chung: Innovator in Chaotic Neural Networks

Introduction

Ho-sun Chung is a prominent inventor based in Sooseong-gu Taegu, South Korea. He has made significant contributions to the field of neural networks, particularly through his innovative patent related to chaotic neural circuits. His work has implications for various applications in technology and artificial intelligence.

Latest Patents

Ho-sun Chung holds a patent for a "Chaotic neural circuit and chaotic neural network using the same." This invention features a mapping circuit that includes a linear circuit for outputting a signal that changes linearly with respect to its input, and a non-linear circuit for outputting a signal that changes non-linearly. The adder in the circuit sums the output signals of both circuits along with an external input signal. The chaotic neuron circuit developed using this mapping circuit boasts a simple structure and enhanced chaos characteristics. Consequently, a chaotic neural network can be formed by interconnecting multiple chaotic neuron circuits, allowing for controlled weight adjustments of each neuron.

Career Highlights

Ho-sun Chung is associated with Goldstar Electron Co., Ltd., where he continues to advance his research and development in neural network technologies. His work has garnered attention for its innovative approach to chaos theory in neural circuits.

Collaborations

Ho-sun Chung has collaborated with Ik-soo Lee, contributing to the development and refinement of his inventions. Their partnership has been instrumental in pushing the boundaries of chaotic neural network research.

Conclusion

Ho-sun Chung's contributions to the field of chaotic neural networks exemplify the innovative spirit of modern inventors. His patent reflects a significant advancement in the understanding and application of neural circuits, paving the way for future developments in technology.

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