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.
Journal: TechConnect Briefs
Volume: Technical Proceedings of the 2000 International Conference on Modeling and Simulation of Microsystems
Published: March 27, 2000
Pages: 540 - 543
Industry sector: Sensors, MEMS, Electronics
Topics: Informatics, Modeling & Simulation, Micro & Bio Fluidics, Lab-on-Chip