Suchergebnisse - Data mining–based evolution learning algorithm

Data mining–based hierarchical cooperative coevolutionary algorithm for TSK-type neuro-fuzzy networks design von Hsu, Chi-Yao, Lin, Sheng-Fuu, Chang, Jyun-Wei

“… This study proposes a data mining–based hierarchical cooperative coevolutionary algorithm (DMHCCA …”
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Epi-GTBN: an approach of epistasis mining based on genetic Tabu algorithm and Bayesian network von Guo, Yang, Zhong, Zhiman, Yang, Chen, Hu, Jiangfeng, Jiang, Yaling, Liang, Zizhen, Gao, Hui, Liu, Jianxiao

“… However, this method has two disadvantages: low learning efficiency and easy to fall into local optimum …”
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DRMM: A novel data mining-based emotion transfer detecting method for emotion prediction of social media von Shi, Wei, Xue, Guangcong, Yin, Xicheng, He, Shaoyi, Wang, Hongwei

“… At present, most of the existing methods use econometric model and machine learning algorithm to predict the trend of online public opinion …”
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Learning Path Analysis of Optimizing Educational Data Mining Based on Genetic Algorithm von Wu, Yanhong

“… This study provides a genetic algorithm-based optimization framework for learning paths that simulates selection, crossover, and mutation operations in biological evolution …”
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Financial Time Series Forecasting: A Data Stream Mining-Based System von Bousbaa, Zineb, Sanchez-Medina, Javier, Bencharef, Omar

“… Within historical data, we can notice long-term, seasonal, and irregular trends. All these changes make traditional static machine learning models not relevant to those study cases …”
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A self-organization mining based hybrid evolution learning for TSK-type fuzzy model design von Lin, Sheng-Fuu, Chang, Jyun-Wei, Hsu, Yung-Chi

“… In this paper, a self-organization mining based hybrid evolution (SOME) learning algorithm for designing a TSK-type fuzzy model (TFM) is proposed …”
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Toward Safer Flight Training: The Data-Driven Modeling of Accident Risk Network Using Text Mining Based on Deep Learning von Zhuang, Zibo, Hou, Yongkang, Yang, Lei, Gong, Jingwei, Wang, Lei

“… To mine the risk factors and dynamic evolution characteristics affecting flight safety, a data-driven network modeling methodology that integrates text mining with domain knowledge in accident …”
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A text mining-based approach for understanding Chinese railway incidents caused by electromagnetic interference von Liu, Chang, Yang, Shiwu

“… ) consequently brings potential risks and hazards to signaling safety. Since the incident reports on signaling failure intrinsically reflect the generation and evolution …”
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Advances in statistical quality control chart techniques and their limitations to cement industry von Tegegne, Daniel Ashagrie, Kitaw, Daniel, Berhan, Eshetie

“… The objective of this paper is to survey the approach and evolution of statistical process control chart techniques and study their significance and limitations in the case of optimization of cement production …”
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Reinforcement evolutionary learning using data mining algorithm with TSK-type fuzzy controllers von Hsu, Chi-Yao, Hsu, Yung-Chi, Lin, Sheng-Fuu

“… In parameter learning, the data-mining based selection strategy (DSS), which proposes association rules, is used …”
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Towards an open university based on machine learning for the teaching service support system using backpropagation neural networks von Wang, Jianjun

“… The combination of information technology and machine learning fuels the rapid evolution of today's educational landscape …”
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Transcriptional analysis of adipose tissue during development reveals depot-specific responsiveness to maternal dietary supplementation von Fainberg, Hernan P., Birtwistle, Mark, Alagal, Reham, Alhaddad, Ahmad, Pope, Mark, Davies, Graeme, Woods, Rachel, Castellanos, Marcos, May, Sean T., Ortori, Catharine A., Barrett, David A., Perry, Viv, Wiens, Frank, Stahl, Bernd, van der Beek, Eline, Sacks, Harold, Budge, Helen, Symonds, Michael E.

“… We, therefore, conducted a data mining based study on the major fat depots (i.e. epicardial, perirenal, sternal …”
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Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm von Xuan-Nam Bui, Hoang Nguyen, Yosoon Choi, T. Nguyen-Thoi, Jian Zhou, Jie Dou

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Tailored Medicine for Patients based on Data Mining and Machine Learning Techniques von Jeshurun, Jeffrey Giftson, Nallarasan, V, Cumar, Dakshan

“… [...]instead of manual based processing, data mining based patient personal, medicinal traits analysis and tailored medicine …”
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The impact of feature types, classifiers, and data balancing techniques on software vulnerability prediction models von Maltesque, Guest Editors, Kaya, Aydin, Keceli, Ali Seydi, Catal, Cagatay, Tekinerdogan, Bedir

“… by the adopted classification algorithm, the adopted features, and data balancing approaches. In this study, we empirically …”
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Optimized ensemble of regression tree-based location of evolving faults in dual-circuit line von Valabhoju, Ashok, Yadav, Anamika, Pazoki, Mohammad, El-Sehiemy, Ragab A.

“… In this paper, a novel data-mining-based scheme is proposed for location of EVFs by using an ensemble of regression trees, that is, bagged regression trees and boosted regression trees …”
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Data Mining Based on Clonal Selection Wavelet Network von Zhenguo Chen

“… wavelet network is presented, meanwhile the evolution of topologic structure and the parameter learning of the wavelet network can be gotten …”
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Text As Data: Computational Methods of Understanding Written Expression Using SAS von DeVille, Barry, Singh Bawa, Gurpreet

“… Text As Data: Combining qualitative and quantitative algorithms within the SAS system for accurate, effective and understandable text analytics The need for powerful, accurate and increasingly automatic text …”
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Trend of time sequence b value of rock burst mine based on phase space reconstruction and deep learning von Feng CUI, Shifeng HE, Xingping LAI, Jianqiang CHEN, Bingcheng SUN, Chong JIA, Yuanjiang GAO

“… As the b value is an effective monitoring indicator of rock burst, it is of great significance for a timely pre-warning of rock burst to grasp the evolution trend of b value in the process of mining …”
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Prediction of Insulator ESDD Based on Meteorological Feature Mining and AdaBoost-MEA-ELM Model von Yaoping WANG, Te LI, Kaihua JIANG, Wenhui LI, Qiang WU, Yu WANG

“… Based on the natural pollution test data of Taizhou City, the basic ESDD prediction model was established by using extreme learning machine (ELM …”
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