Title :
Embedded water quality field analyzer based on neural network
Author :
Xueliang, Zhao ; Yun, Shi ; Xiaohui, Wang ; Lei, Zhang
Author_Institution :
Center For Hydrogeology & Environ. Geol., CGS, Baoding, China
Abstract :
Taking a water quality field analyzer as an example, a solution is proposed based on embedded and neural network. The hardware and the software design are introduced in detail. Then we sum up the complex nonlinear relation between the evaluation standard and the evaluation results through the continual study and training of BP neural network, and finally establish the BP neural network model. The system has wide application prospect with the advantages of small volume, low cost, high reliability, etc.
Keywords :
Linux; backpropagation; embedded systems; environmental science computing; learning (artificial intelligence); microcomputers; neural nets; water quality; backpropagation neural network; complex nonlinear relation; embedded system; evaluation results; evaluation standard; water quality field analyzer; Computer displays; Electronic mail; Hardware; Linux; Neural networks; Operating systems; Sensor systems; Switches; Temperature sensors; Water resources; ARM; Linux operating system; neural network; water quality;
Conference_Titel :
Test and Measurement, 2009. ICTM '09. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4699-5
DOI :
10.1109/ICTM.2009.5413057