A new modeling technique based on the ANN and DOE for interconnects

Author

Sun, Lingling ; Li, Xungen ; Ge, Feng ; Cai, Miaohua ; Wu, Xinling

Author_Institution

CAD Center, Hangzhou Inst. of Electron. Eng., China

fYear

2001

fDate

2001

Firstpage

91

Lastpage

93

Abstract

This paper mainly introduces a new method for building interconnect macro-models based on the multilayer feed-forward artificial neural network (ANN) and design of experiment (DOE). The test examples show that making use of orthogonal tables to arrange the selection of training data can obviously improve the efficiency for building macro-models of interconnect networks in comparison with training from random data. The method can also be used to build macro-models of other devices or modules of VLSI or RF/MMICs

Keywords

MMIC; VLSI; circuit CAD; circuit simulation; design of experiments; feedforward neural nets; integrated circuit interconnections; integrated circuit modelling; learning (artificial intelligence); ANN; DOE; IC interconnects; MMIC; RF ICs; VLSI; design of experiment; interconnect network macro-modeling; interconnects; macro-model; modeling technique; multilayer feed-forward artificial neural network; orthogonal table; training data selection; Artificial neural networks; Buildings; Feedforward systems; MMICs; Multi-layer neural network; Radio frequency; Testing; Training data; US Department of Energy; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

ASIC, 2001. Proceedings. 4th International Conference on

Conference_Location

Shanghai

Print_ISBN

0-7803-6677-8

Type

conf

DOI

10.1109/ICASIC.2001.982505

Filename

982505