Nano Science and Technology Institute
MSM 2000
MSM 2000
Technical Proceedings of the 2000 International Conference on Modeling and Simulation of Microsystems
Chapter 12: Computational Methods for Microfluidics

A Neural Network Based Macromodel for Microflow Sensors

Authors:O. Mikulchenko, A. Rasmussen and K. Mayaram
Affilation:Washington State University, US
Pages:540 - 543
Keywords:microflow sensors, macromodeling, neural networks, microfluidic simulation
Abstract: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.
A Neural Network Based Macromodel for Microflow SensorsView PDF of paper
© 2017 Nano Science and Technology Institute. All Rights Reserved.
Terms of Use | Privacy Policy | Contact Us | Site Map