Yang Jun
5 Papers
3 Citations
Yang Jun is an academic researcher. The author has contributed to research in topics: Spice & Artificial neural network. The author has an hindex of 1, co-authored 5 publications.
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Papers
Patent
A circuit path delay fluctuation prediction method based on machine learning
Peng Cao,Xu Bingqian,Jingjing Guo,Li Mengxiao,Yang Jun +4 more
- 22 Jan 2019
TL;DR: In this article, a circuit path delay fluctuation prediction method based on machine learning is proposed, which comprises the following steps: S1, selecting an appropriate sample characteristic quantity by analyzing the relationship between the circuit characteristic and the path delay; S2, generating random paths by enumerating the values of the randomized parameters, obtaining the path maximum delay through Monte Carlo simulation of the random paths, selecting the reliable paths through the 3 sigma standard, and taking the sample characteristic quantities and the trajectory of the reliable path as a sample set; 3, establishing a path delay prediction model and
1
Accurate and Efficient Interdependent Timing Model for Flip-Flop in Wide Voltage Region
Peng Cao,Zhiyuan Liu,Jingjing Guo,Haoyu Pang,Jiangping Wu,Yang Jun +5 more
- 23 Jun 2019
TL;DR: An accurate and efficient modelling approach is proposed by employing artificial neuron network (ANN) to characterize the interdependency among the setup time hold time and c2q delay of FF in wide voltage region.
1
Patent
Unit delay prediction method and element delay sensitivity calculation method based on neural network
Peng Cao,Li Mengxiao,Jingjing Guo,Xu Bingqian,Yang Jun +4 more
- 22 Jan 2019
TL;DR: In this paper, a neural network model is used to predict the unit delay of a cell, which has the advantages of high precision, low modeling cost, and fast prediction speed.
1
Patent
Method for predicting fluctuation of circuit path delay on basis of machine learning
Peng Cao,Xu Bingqian,Jingjing Guo,Li Mengxiao,Yang Jun +4 more
- 20 Feb 2020
TL;DR: In this article, a method for predicting the fluctuation of circuit path delay on the basis of machine learning is proposed, which has the advantages of high precision and low running time, thereby having remarkable advantages in the accuracy and efficiency of time sequence analysis.
Patent
Neural network-based cell delay prediction method and cell delay sensitivity calculation method
Peng Cao,Li Mengxiao,Jingjing Guo,Xu Bingqian,Yang Jun +4 more
- 20 Feb 2020
TL;DR: In this paper, a neural network-based cell delay prediction method was proposed, comprising of the following steps: S1: selecting a characteristic quantity required for a SPICE simulation and neural network training; S2: randomly selecting the characteristic quantity value, measuring the cell delay by using the SPICE simulations, and establishing a cell delay sample set; S3: dividing the celldelay sample set obtained by the simulation into a training sample set and a test sample set.