02652nam a2200241 a 4500 vtls000031326 KUKTEM 20251114204413.0 080829t2008 my a f m 000 0 eng|d THE0001923(Local) 201905131530 yusri 201107132226 VLOAD 200908141515 VLOAD 200908141444 VLOAD 200808291146 ida84 UMP QA76.87 .Z34 2008 rs Thesis Mohamad Zafarudin Mohamad Estimation of vinyl acetate monomer concentration using neural network & partial least square / Mohamad Zafarudin Mohamad Estimation of vinyl acetate monomer concentration using neural network & partial least square [electronic resource] Kuantan, Pahang : UMP, 2008 70 p. : ill. ; 30 cm. + 1 computer disc Project paper (Bachelor of Chemical Engineering) --- Universiti Malaysia Pahang - 2008 This thesis is about the application of Artificial Neural Network (ANN) and Partial Least Square (PLS) on the chemical process plant. At the present time, the process and development in chemical plants are getting more complex and hard to measure. Therefore, the needs for a system that can help to supervise and control the process in the plant have to be accomplished in order to achieve higher performance and quality. As the emergence of Artificial Neural Network and Partial Least Square application nowadays to solve problem in various fields had given a great significant effect such as soft-sensor, lack of on-line measurement, and incorporate the safety issues while maintaining practicality and economic feasibility, both of the system are reliable to be adapted in the chemical plant. Furthermore, this thesis will be focusing more on the application of Artificial Neural Network and Partial Least Square as a estimation scheme in the chemical plant. Estimation by using Artificial Neural Network (ANN) and Partial Least Square (PLS) is popular in the present time as a mechanism to estimate the variables in the chemical plant. By implementing such system, the performance and quality of the plant will increased. For this thesis, the vinyl acetate monomer plant had been chosen as the case study to provide the necessary data and information to run the research. Vinyl acetate monomer process will provides a dependable source of data and an appropriate test for alternative control and optimization strategies for continuous chemical processes.-Author Neural networks (Computer science) 0 0 0 1 20000 20000 2019-09-04 0 QA76.87 .Z34 2008 rs Thesis 0000031429 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 2778 | QA76.87 .Z34 2008 rs Thesis 0000031430 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 1441 1447 VTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*9992