首页|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)
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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
GoaIndiaAsiaCyborgsEmerging Tech nologiesMachine LearningPerceptronSchool of Electronic Science
NETL
NSTL
