Method for Modeling of a Capacitor Pressure Sensor Using FLANN
Pla Uni · Yiqi yibiao xuebao · 2003
The prime aim of this paper is to develop a model of the capacitor pressure sensor involving less computational complexity, so that its implementation could be economical and robust. It is shown that a CPS can be modeled for accurate readout of applied pressure using a novel functional link artificial neural network. The proposed FLANN is a computationally efficient nonlinear network and is capable of complex nonlinear mapping between its input and output pattern space. The FLANN offers substantial computational advantage over a multiplayer perceptron for similar performance in modeling of the CPS.