Sensor linearization with neural networks
Nicolás J. Medrano-Marqués, B. Martín-del-Brío · IEEE Transactions on Industrial Electronics · 2001
A procedure for extending the linear range of an arbitrary sensor is proposed. The process is carried out by a neural network which compensates the sensor nonlinear characteristic. A negative temperature coefficient resistor sensor is used as an application example of the procedure, and its implementation in low-resolution microcontrollers is analyzed.