Prediction of penetration rate by coupled simulated annealing-least square support vector machine (CSA_LSSVM) learning in a hydrocarbon formation based on drilling parameters
Reads0
Chats0
TLDR
This paper uses mathematical programming and optimization-based methods to present and review learning models for data classification to bridge the gap between new multi-objective programming models and the powerful and improved CSA-LSSVM methods presented for classification in data mining and to generalize studies to improve each of these methods.About:
This article is published in Energy Reports.The article was published on 2021-06-25 and is currently open access. It has received 6 citations till now. The article focuses on the topics: Support vector machine & Data classification.read more
Citations
More filters
Journal ArticleDOI
CBR Prediction of Pavement Materials in Unsoaked Condition Using LSSVM, LSTM-RNN, and ANN Approaches
Jitendra Khatti,Kamaldeep Grover +1 more
Journal ArticleDOI
Experimental study on the preparation method of coal-like materials based on similarity of material properties and drilling parameters
Xinghua Zhang,Haifeng Wang,Zheng Shang,Tianwei Ren,Ping Chen,Zhiyuan Wang,Zhangze Shi,Pengfei Lv +7 more
TL;DR: In this article, a coal rock drillability evaluation system was developed based on the principle of Frechet distance algorithm to evaluate the similarity between drilling simulation experiment data of coal-like materials and natural coal.
Journal ArticleDOI
Experimental study on the preparation method of coal-like materials based on similarity of material properties and drilling parameters
TL;DR: In this paper , a coal-like material with different proportions of coal was used to analyze the single-factor and two-factor-coupling influences on the properties of coal.
Journal ArticleDOI
Hybrid Prediction Model of Air Pollutant Concentration for PM2.5 and PM10
Yanrong Ma,Jun Ma,Yifan Wang +2 more
TL;DR: In this article, a mixed prediction model of pollutant concentration based on the machine learning method is proposed to alleviate the negative effects of air pollution, and the results show that the prediction method has good robustness and the expected results can be obtained under different prediction conditions.
Journal ArticleDOI
A novel improved model for green building energy consumption prediction based on time-series analysis
TL;DR: In this paper , a building energy consumption prediction model based on time-series analysis and Support Vector Machine (SVM) is proposed, which shows the highest accuracy rate of 95.5% in the neural network accuracy test, which is significantly higher than the comparison of traditional algorithms.
References
More filters
Book
Data Mining: Concepts and Techniques
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
Book
Data Mining: Practical Machine Learning Tools and Techniques
TL;DR: This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining.
Book
Advanced Data Mining Techniques
David L. Olson,Dursun Delen +1 more
TL;DR: This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding.
Journal ArticleDOI
Transport of intensity phase retrieval and computational imaging for partially coherent fields: The phase space perspective
TL;DR: In this paper, a phase-space formulation for the transport of intensity equation (TIE) is presented for analyzing phase retrieval under partially coherent illumination. But the authors do not consider the effect of the partial coherence on phase retrieval.
Journal ArticleDOI
High-resolution transport-of-intensity quantitative phase microscopy with annular illumination
TL;DR: In this article, a matched annular illumination was proposed to boost the phase contrast for low spatial frequencies, and significantly improved the practical imaging resolution to near the incoherent diffraction limit, achieving a transverse resolution up to 208 nm.
Related Papers (5)
Local Parameter Optimization of LSSVM for Industrial Soft Sensing With Big Data and Cloud Implementation
Xinyu Zhang,Zhiqiang Ge +1 more