HYBRID LEARNING METHOD FOR DISCRETE MANUFACTURING CONTROL USING KNOWLEDGE BASED MODEL

2006 ◽  
Keyword(s):  
Hybrid Learning ◽  
Learning Method ◽  
Manufacturing Control ◽  
Knowledge Based ◽  
Discrete Manufacturing

scholarly journals Performance Prediction and Optimization of Solar Water Heater via a Knowledge-Based Machine Learning Method

2018 ◽  
pp. 55-74 ◽  
Author(s):  
Hao Li ◽  
Zhijian Liu
Keyword(s):  
Machine Learning ◽  
Machine Learning Method ◽  
Solar Water Heater ◽  
Learning Method ◽  
Optimization Strategy ◽  
Learning Models ◽  
Water Heater ◽  
Solar Water ◽  
Knowledge Based ◽  
Machine Learning Models

Measuring the performance of solar energy and heat transfer systems requires a lot of time, economic cost, and manpower. Meanwhile, directly predicting their performance is challenging due to the complicated internal structures. Fortunately, a knowledge-based machine learning method can provide a promising prediction and optimization strategy for the performance of energy systems. In this chapter, the authors show how they utilize the machine learning models trained from a large experimental database to perform precise prediction and optimization on a solar water heater (SWH) system. A new energy system optimization strategy based on a high-throughput screening (HTS) process is proposed. This chapter consists of: 1) comparative studies on varieties of machine learning models (artificial neural networks [ANNs], support vector machine [SVM], and extreme learning machine [ELM]) to predict the performances of SWHs; 2) development of an ANN-based software to assist the quick prediction; and 3) introduction of a computational HTS method to design a high-performance SWH system.

APPLICATION OF MARKOV PROGRAMMING IN DISCRETE MANUFACTURING CONTROL

1992 ◽  
Vol 18 (4) ◽  
pp. 263-276
Author(s):  
W. G. FERRELL ◽  
R. P. DAVIS
Keyword(s):  
Manufacturing Control ◽  
Discrete Manufacturing

Hybrid Learning Based Competitive Sports Training

2014 ◽  
Vol 926-930 ◽  
pp. 4514-4517
Author(s):  
Zheng Zhi Wu ◽  
Bin Wang
Keyword(s):  
Computer Science ◽  
Computer Technology ◽  
Hybrid Learning ◽  
Traditional Learning ◽  
Competitive Sports ◽  
Learning Method ◽  
Sports Training ◽  
Popular Method ◽  
Advanced Technologies

Hybrid learning is a modern way for the education, fusing the traditional learning method in the classroom and the network based learning method. As the development of the multimedia and computer science, various advanced technologies are generalized to the education tasks. Hence, the hybrid learning would become as a popular method for the education. In this paper, specialized to the competitive training, we present the hybrid learning based competitive sports training. The key of the application of the computer technology and hybrid learning is presented as discuss, which would contribute to the development of the hybrid learning in the competitive training.

METODE PEMBELAJARAN SEBAGAI REKONSTRUKSI KARAKTER SISWA;

2020 ◽  
Vol 1 (1) ◽  
pp. 64-78
Author(s):  
Moh Romli
Keyword(s):  
Teaching And Learning ◽  
Islamic Education ◽  
Learning Method ◽  
Education Curriculum ◽  
Learning Methods ◽  
Knowledge Based ◽  
The World ◽  
Method Student ◽  
The Right ◽  
Alternative Solutions

ABSTRACTMaking students who have the right, noble character and noble character, is the main goal of a teacher.Therefore, Ali Ahmad Madkur, an education expert and a Professor in the field of education curriculum developmentfrom Cairo University of Egypt, explained some of his thoughts related to the methods in Teaching and LearningActivities (at-thariqah at-ta'lim wa ta'alum). He put it in a very important part to make it easier for students to learn.Ali Ahmad Madkur, seeks to provide alternative solutions in teaching and learning methods to teachers (mu'alimun),which consist of various methods, such as habituation or exemplary, lectures, and interactions, discussions anddebates, stories, advice, penalties and rewards, etc. Ali Ahmad Madkur, has contributed ideas that can be used as abasis in teaching teachers so that they can be better understood by students, and trying with these methods, canreconstruct students' patterns of having noble character and character according to the expectations of parents, withfoundation ijmaliy (global) exposure in the guidance of the Holy Qur’an and the Hadith of the Prophet. Ali AhmadMazdkur strives in his thinking, advancing the world of Islamic education with the output of students or students whohave knowledge based on wisdom, character and noble character.Keywords: Learning Method, Student Character

scholarly journals Rainfall Forecasting in Banyuwangi Using Adaptive Neuro Fuzzy Inference System

2017 ◽  
Vol 1 (2) ◽  
pp. 65 ◽  
Author(s):  
Gusti Ahmad Fanshuri Alfarisy ◽  
Wayan Firdaus Mahmudy
Keyword(s):  
Membership Function ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Hybrid Learning ◽  
Learning Method ◽  
Rainfall Forecasting ◽  
Inference System ◽  
Previous Event ◽  
Neuro Fuzzy ◽  
High Prediction

Rainfall forcasting is a non-linear forecasting process that varies according to area and strongly influenced by climate change. It is a difficult process due to complexity of rainfall trend in the previous event and the popularity of Adaptive Neuro Fuzzy Inference System (ANFIS) with hybrid learning method give high prediction for rainfall as a forecasting model. Thus, in this study we investigate the efficient membership function of ANFIS for predicting rainfall in Banyuwangi, Indonesia. The number of different membership functions that use hybrid learning method is compared. The validation process shows that 3 or 4 membership function gives minimum RMSE results that use temperature, wind speed and relative humidity as parameters.

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