Title :
Analysis to detecting methods of analogue based on variable threshold value neuron
Author :
Tang, Jian ; Sun, Bo
Author_Institution :
Inst. of Special Equip., Shenyang Ligong Univ., Shenyang, China
Abstract :
In this paper, piecewise linearization and piecewise variable slope are used to train the detecting methods of non-linear analogue based on variable threshold neuron. The relationship between two training methods is given. The training method of piecewise variable slope can calibrate the detecting curve from the training method of piecewise linearization at the sampled-data feature, which improves the detecting precision and detecting resolution. The simulation result above-mentioned are provided.
Keywords :
distributed control; learning (artificial intelligence); linearisation techniques; nonlinear control systems; piecewise linear techniques; sampled data systems; signal detection; distributed control system; nonlinear analogue detection method; piecewise linearization; piecewise variable slope; sampled-data feature; training method; variable threshold value neuron; Artificial intelligence; Artificial neural networks; Automation; Embedded system; Information science; Logistics; Neurons; Production; Sun; Testing; artificial neuron; distributed system; embedded system; non-linear analogue detection;
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
DOI :
10.1109/ICAL.2009.5262746
