By Lianfang Zhu, Ligang Dong, Chuanhuang Li (auth.), Haenakon Kim (eds.)
This e-book Advances in know-how and administration includes 116 complete size papers awarded on the overseas convention on know-how and administration, hung on June 12-13, 2012, Jeju-Island, Korea. The aim of ICTAM 2012 is to compile researchers operating in lots of various parts of know-how and administration to foster foreign collaborations and trade of recent ideas.
This quantity may be divided into sections at the foundation of the type of manuscripts thought of. the 1st part bargains with expertise. the second one portion of this quantity includes management.
Read Online or Download Advances in Technology and Management: Proceedings of the 2012 International Conference on Technology and Management (ICTAM 2012), International Convention Center Jeju, Jeju-Island, Korea PDF
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Extra info for Advances in Technology and Management: Proceedings of the 2012 International Conference on Technology and Management (ICTAM 2012), International Convention Center Jeju, Jeju-Island, Korea
BP neural network can be seen from the Research of the Pipe Flow Measurement and Control System 31 M dimensional Euclidean space to the L dimensional Euclidean space, non-linear mappings, this mapping is highly nonlinear, and can approximate any nonlinear mapping, it can provide a simple and effective general approach to nonlinear system identification. This paper adopts three-layer BP network with three input layer nodes, five hidden layer nodes and three output layer nodes. PID controller structure based on BP neural network is shown in Figure 2 and Figure 3.
R. cn Abstract. Based on spatial correlation filtering, an advanced approach, which selects strategies according to different noise thresholds and practises correlation process in low-frequency and high frequency bands of wavelet decomposition, is proposed for denoising echo of ultrasonic wave which detects defects in bonding interface of thin composite plate. Firstly, the echo signals with noises should be transformed by wavelet basis. Secondly, correlation functions of approximated coefficients and detail coefficients are calculated separately.
System simulation diagram 6 Conclusion In the pipeline flow measurement and control system, since the flow is easily affected by random factors interfere with time-varying, nonlinear complex object, traditional PID is difficult to achieve the desired control effect. In this paper, BP neural network PID control algorithm is applied in THSA-1 process control system device, experiments show that neural network PID control algorithm has significantly improved in adaption and control quality, etc. than the traditional PID.