MSM 2000
MSM 2000
Technical Proceedings of the 2000 International Conference on Modeling and Simulation of Microsystems

Computational Methods for Microfluidics Chapter 12

A Neural Network Based Macromodel for Microflow Sensors

Authors: O. Mikulchenko, A. Rasmussen and K. Mayaram

Affilation: Washington State University, United States

Pages: 540 - 543

Keywords: microflow sensors, macromodeling, neural networks, microfluidic simulation

A neural network based macromodel has been developed for a microflow sensor and implemented in the circuit simulator SPICE3f5. The model has been validated with numerical simulations and allows accurate and efficient simulation of microflow sensors in a microfluidic system. This model simulates both the steady-state and the dynamic operation of the flow sensor. The neural network design is based on a problem-based scaling and a combination of stochastic search and the genetic algorithm. The macromodel can be used for microfluidic system simulation and the optimal design of the flow sensor.

ISBN: 0-9666135-7-0
Pages: 741