 | 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, U.S.A. |
| 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. |
 | View paper |
| ISBN: | 0-9666135-7-0 |
| Pages: | 741 |
| Hardcopy: | $100.00 |
| Special: | 3 CD Set — 15% off with Free Shipping |
| Up | |
