Dissertation > Excellent graduate degree dissertation topics show
The Data and Signal Treatment Technology in the Intelligence Measures Instrument and System
Author: BaoMeiLian
Tutor: CuiYuLiang;XuLeNian
School: Shandong University of Science and Technology
Course: Measuring Technology and Instruments
Keywords: Neural Network Forward network Fast BP Algorithm Comprehensive calibration model
CLC: TH70
Type: Master's thesis
Year: 2005
Downloads: 288
Quote: 0
Read: Download Dissertation
Abstract
|
Measurement of human understanding of the world and thus an important means of transforming the world , the sensor is to measure the direct experience of the system being measured information of the device, hope that it will be useful according to certain rules of the output signal . However, due to performance factors effect sensor itself , the sensor output is nonlinear . And in most cases , due to electromagnetic waves, noise, and the external environment , the sensor becomes more complicated nonlinear . Sensing system for non-linear and interference correction factors simultaneously , which for sensor technology development and improvement of the performance measurement system has important theoretical significance and practical value. Modern measurement system based on the input - output relationship generally linear , and by temperature measurement , the effect of noise and other factors , this non-linearity becomes more complex , the use of conventional methods to establish a comprehensive calibration of mathematical models is difficult . The neural network has a good fault tolerance and associative memory function, a strong adaptive ability , and has strong nonlinear mapping ability , highly nonlinear approximation problem is easy to solve . Therefore, the use of neural networks to establish the characteristics of the corresponding detection system model and error correction model is an ideal choice. In this issue of the study, the neural network theory into the measurement system, the establishment of non-linear calibration model integrated measurement system to improve system accuracy. This function approximation using a strong ability to learn using BP algorithm multilayer feedforward network that BP neural network to build an integrated linear measuring system calibration model , and using fast BP algorithm to train the network , through simulation, to obtain the effective measurement system neural network model . Working mainly reflected in: 1 wide temperature range, pressure effects diacetone density modeling ; 2 under the action of pressure and temperature diacetone velocity measurement neural network modeling ; 3 . Hydrochloric acid concentration ultrasonic non-intrusive sensing systems Forward and reverse modeling .
|
Related Dissertations
- Development of the Platform for Compressor Optimization Design and Aerodynamic Optimization Design in the Transonic Compressor,TH45
- Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
- Study on Virtual Detector of Infrared Hyper-Spectral Image,TP391.41
- The Application of Fuzzy Control and Neural Network in Planar Double Inverted Pendulum,TP273.4
- Research of Visual Servoing in 4-DOF Robotic Manipulator,TP242.6
- Research on Visual Servo System of Mechanical ARM,TP242.6
- Design of Weapon Detection Device Control System,TP183
- Municipal tourism land use planning environmental impact assessment,X820.3
- Research on the Inteligent System of High Performance Concrete Mix Design in Zhujiang Triangle Area,TU528
- Study on Taste Characteristic of Taste Peptide Enzymatic Production from Oyster Base on A Neural Network Method,TS254.4
- Smart Control Research in Paddy Drying Based on BP Neural Network,S226.6
- BP network optimization based on genetic algorithm optimization of the biodiesel process,TE667
- Fire Fighting System Research for the Offshore Platform,U698.4
- The Research on Evaluation of Living Status Systems of Expressway Relocated People,D523
- Research on Inspection Technology of Dehydrated Garlic Slice Based on Computer Vision,TP391.41
- The Design of the Coal Mine’s Safety Evaluation System Based on Wavelet Neural Network,TD79
- Enterprise Security Benefit Evaluation and Development Strategies,F272;F224.5
- Mine Risk Information Integration and Intelligent Early Warning,X936
- Ketones 3D-QSPR study,O641
- Research of Orange Quality Classification Technology Based on Computer Vision,TP391.41
- Study on Risk Identification and Evaluation of Manufacturing Green Products R & D,F205;F224
CLC: > Industrial Technology > Machinery and Instrument Industry > Instruments, meters > General issues
© 2012 www.DissertationTopic.Net Mobile
|