Suchergebnisse - data mining―based (evolutionary OR 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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Efficient and accurate image alignment using TSK-type neuro-fuzzy network with data-mining-based evolutionary learning algorithm von Hsu, Chi-Yao, Cheng, Yi-Chang, Lin, Sheng-Fuu

“… In this study, a Takagi-Sugeno-Kang-type neuro-fuzzy network (NFN) with data-mining-based evolutionary learning algorithm (DMELA) is proposed …”
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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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Reinforcement evolutionary learning using data mining algorithm with TSK-type fuzzy controllers von Hsu, Chi-Yao, Hsu, Yung-Chi, Lin, Sheng-Fuu

“… Reinforcement evolutionary learning using data mining algorithm (R-ELDMA) with a TSK-type fuzzy controller (TFC …”
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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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Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data von Garouani, Moncef, Ahmad, Adeel, Bouneffa, Mourad, Hamlich, Mohamed, Bourguin, Gregory, Lewandowski, Arnaud

“… In this context, Machine Learning (ML) is among the major predictive modeling approaches that can enable manufacturing researchers and practitioners to improve the product quality and achieve resource efficiency by exploiting large amounts of data …”
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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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Classification rule mining based on Pareto-based Multiobjective Optimization von Sağ, Tahir, Kahramanlı Örnek, Humar

“… The process of rule extraction is a challenging classification task in data mining since it has several constraints and conflicting objectives such as accuracy and comprehensibility …”
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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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A hybrid ANN-based imperial competitive algorithm methodology for structural damage identification of slab-on-girder bridge using data mining von Gordan, Meisam, Razak, Hashim Abdul, Ismail, Zubaidah, Ghaedi, Khaled, Tan, Zhi Xin, Ghayeb, Haider Hamad

“… methodology using modal parameter data, which trained by means of a hybrid artificial neural network-based imperial competitive algorithm (ANN-ICA …”
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SemiSupervised Learning for Class Association Rule Mining Using Genetic Network Programming von Mabu, Shingo, Higuchi, Takuro, Kuremoto, Takashi

“… Therefore, this paper proposes a semisupervised learning method for rule extraction, where a small number of labeled data and a large number of unlabeled data are used to efficiently extract class association rules …”
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Evolutionary computing for clinical dataset classification using a novel feature selection algorithm von Pranali D. Sheth, Shrishailappa T. Patil, Manikrao L. Dhore

“… The medical diagnostic decision support system uses machine learning and data mining algorithms to detect and diagnose diseases …”
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A Hybrid Multi-Objective Evolutionary Algorithm-Based Semantic Foundation for Sustainable Distributed Manufacturing Systems von Ramakurthi, Veera Babu, Manupati, V. K., Machado, José, Varela, Leonilde

“… An integrated classifier-assisted evolutionary multi-objective evolutionary approach is proposed for solving the objectives of makespan, energy consumption …”
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Development of an evolutionary fuzzy expert system for estimating future behavior of stock price von Mehmanpazir, Farhad, Asadi, Shahrokh

“… This paper presents a ''data mining-based evolutionary fuzzy expert system'' (DEFES) approach to estimate the behavior of stock price …”
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Network intrusion detection using fuzzy class association rule mining based on genetic network programming von Ci Chen, Mabu, S., Chuan Yue, Shimada, K., Hirasawa, K.

“… ) for detecting network intrusions. GNP is an evolutionary optimization techniques, which uses directed graph structures as genes instead of strings (Genetic Algorithm) or trees (Genetic Programming …”
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MLP-TLBO: Combining Multi-Layer Perceptron Neural Network and Teaching-Learning-Based Optimization for Breast Cancer Detection von Cui, Yuzhen, Li, Xiaoqian, Wang, Yaoyao, Yuan, Weiqiang, Cheng, Xianwu, Samiei, Moslem

“… There are many approaches to breast cancer diagnosis. Classification of patients in terms of benign or malignant cancer using data mining techniques has attracted the attention of many researchers …”
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