The Research And Development Of Embedded Intelligent Control System Based On Neural Network

With the rapid development of various technologies, it is increasingly higher for temperature control. Network technology realizes Internet-based remote monitoring, neural network enables control to be more intelligent, while the embedded system provides a good development platform. Therefore, the Combination of three technologies is the development of control system.This paper introduces embedded intelligent control system based on neural network, in which Microcontroller core board is the core, using the I/O port of S3c2410 to communicate with the bottom I/O nodes. System uses Web browsing capabilities of embedded Web Server, and cgi technology to realize to authorize user by Internet browser in any place to view a situation of temperature acquisition and the control of eight-way digital and analog output. It also combines conjugate optimization algorithm with bp, which significantly improves the convergence rate of neural networks. This neural network improved is used to process the temperature collected, so as to achieve the purpose of real-time intelligent control of peripherals.The system follows the footsteps of the embedded system development, using a combination of 32-bit Embedded Microprocessor, Universal operating system, neural networks algorithms to design and develop ARM-based data acquisition and neural network intelligent control system, it can be widely applied to the area of temperature and humidity data acquisition and monitoring .