Neural-Based Models of Semiconductor Devices for SPICE Simulator

The paper addresses a simple and fast new approach to implement Artificial Neural Networks (ANN) models for the MOS transistor into SPICE. The proposed approach involves two steps, the modeling phase of the device by NN providing its input/output patterns, and the SPICE implementation process of the resulting model. Using the Taylor series expansion, a neural based small-signal model is derived. The reliability of our approach is validated through simulations of some circuits in DC and small-signal analyses.

[1]  M.C.E. Yagoub,et al.  Neural based dynamic modeling of nonlinear microwave circuits , 2002, 2002 IEEE MTT-S International Microwave Symposium Digest (Cat. No.02CH37278).

[2]  Kurt Hornik,et al.  Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives , 1994, Neural Computation.

[3]  R.A. Pucel,et al.  GaAs FET device and circuit simulation in SPICE , 1987, IEEE Transactions on Electron Devices.

[4]  Zeljko Mrcarica,et al.  MOS transistor modelling using neural network , 1992 .

[5]  Kurt Hornik,et al.  Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks , 1990, Neural Networks.

[6]  Michel Nakhla,et al.  Analysis and optimization of microwave circuits and devices using neural network models , 1994, 1994 IEEE MTT-S International Microwave Symposium Digest (Cat. No.94CH3389-4).

[7]  Denis Barataud,et al.  The use of artificial neural networks in nonlinear microwave devices and circuits modeling: An application to telecommunication system design (invited article) , 1999 .

[8]  Fredric M. Ham,et al.  A novel neural network for the synthesis of antennas and microwave devices , 2005, IEEE Transactions on Neural Networks.

[9]  Qi-Jun Zhang,et al.  Neural Networks for RF and Microwave Design , 2000 .

[10]  Kurt Hornik,et al.  Multilayer feedforward networks are universal approximators , 1989, Neural Networks.

[11]  Georg Boeck,et al.  Microwave nonlinear device modelling by using an artificial neural network , 2006 .

[12]  Marcelino Lázaro,et al.  A modular neural network for global modeling of microwave transistors , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

[13]  J.I. Ababneh,et al.  Simple model for quantum-dot semiconductor optical amplifiers using artificial neural networks , 2006, IEEE Transactions on Electron Devices.

[14]  Qi-Jun Zhang,et al.  Device and circuit-level modeling using neural networks with faster training based on network sparsity , 1997 .

[15]  Q.J. Zhang,et al.  A Neural Network Approach to the Modeling of Heterojunction Bipolar Transistors from S-Parameter Data , 1998, 1998 28th European Microwave Conference.

[16]  Mauro Mongiardo,et al.  A review of artificial neural networks applications in microwave computer-aided design , 1999 .

[17]  Zlatica Marinkovic,et al.  Bias-dependent scalable modeling of microwave FETs based on artificial neural networks , 2006 .

[18]  Pierre Cardaliaguet,et al.  Approximation of a function and its derivative with a neural network , 1992, Neural Networks.

[19]  Fang Wang,et al.  A hierarchical neural network approach to the development of library of neural models for microwave design , 1998, 1998 IEEE MTT-S International Microwave Symposium Digest (Cat. No.98CH36192).

[20]  Kenneth Levenberg.  A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES , 1944 .

[21]  D. D'Amore,et al.  Behavioral simulation of artificial neural networks: A general approach for digital and analog implementation , 1991, 1991., IEEE International Sympoisum on Circuits and Systems.

[22]  Kurt Hornik,et al.  Approximation capabilities of multilayer feedforward networks , 1991, Neural Networks.

[23]  Michel Nakhla,et al.  A neural network modeling approach to circuit optimization and statistical design , 1995 .

[24]  G. L. Creech,et al.  Artificial neural networks for fast and accurate EM-CAD of microwave circuits , 1997 .

[25]  V. Piuri,et al.  The use of the electrical simulator SPICE for behavioral simulation of artificial neural networks , 1991, [1991] Proceedings of the 24th Annual Simulation Symposium.

[26]  Halbert White,et al.  On learning the derivatives of an unknown mapping with multilayer feedforward networks , 1992, Neural Networks.

[27]  Naofumi Okubo,et al.  Structural determination of multilayered large-signal neural-network HEMT model , 1998 .

[28]  Ken-ichi Funahashi,et al.  On the approximate realization of continuous mappings by neural networks , 1989, Neural Networks.

[29]  Fang Wang,et al.  Knowledge based neural models for microwave design , 1997, 1997 IEEE MTT-S International Microwave Symposium Digest.

[30]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[31]  Randall L. Geiger,et al.  VLSI Design Techniques for Analog and Digital Circuits , 1989 .

[32]  R. Jacob Baker,et al.  CMOS Circuit Design, Layout, and Simulation , 1997 .

[33]  Naofumi Okubo,et al.  A large-signal characterization of an HEMT using a multilayered neural network , 1997 .