Robotics & Machine Learning Daily News2024,Issue(Sep.16) :60-60.

New Machine Learning Study Findings Have Been Reported by Researchers at School of Electronic Science (Machine Learning Driven Global Optimisation Framework for Analog Circuit Design)

Robotics & Machine Learning Daily News2024,Issue(Sep.16) :60-60.

New Machine Learning Study Findings Have Been Reported by Researchers at School of Electronic Science (Machine Learning Driven Global Optimisation Framework for Analog Circuit Design)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Goa, India, by NewsRx corresp ondents, research stated, “We propose a machine learning-driven optimisation fra mework for analog circuit design in this paper. Machine learning based global of fline surrogate models, with the circuit design parameters as the input, are bui lt in the design space for the analog circuits under study and are used to guide the optimisation algorithm towards an optimal circuit design, resulting in fast er convergence and reduced number of spice simulations.”

Key words

Goa/India/Asia/Cyborgs/Emerging Tech nologies/Machine Learning/Perceptron/School of Electronic Science

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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