Výsledky vyhľadávania - Data mining–based evolutionary learning algorithm

Efficient and accurate image alignment using TSK-type neuro-fuzzy network with data-mining-based evolutionary learning algorithm

Autori: Yi Chang Cheng Sheng-Fuu Lin Chi-Yao Hsu

Zdroj: EURASIP Journal on Advances in Signal Processing. 2011

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/1687-6180-2011-96
https://link.springer.com/article/10.1186/1687-6180-2011-96
https://ui.adsabs.harvard.edu/abs/2011EJASP2011...96H/abstract
https://link.springer.com/content/pdf/10.1186%2F1687-6180-2011-96.pdf
https://dblp.uni-trier.de/db/journals/ejasp/ejasp2011.html#HsuCL11
https://asp-eurasipjournals.springeropen.com/articles/10.1186/1687-6180-2011-96
https://paperity.org/p/4074465/efficient-and-accurate-image-alignment-using-tsk-type-neuro-fuzzy-network-with-data

Efficient and accurate image alignment using TSK-type neuro-fuzzy network with data-mining-based evolutionary learning algorithm

Autori: Hsu, Chi-Yao Cheng, Yi-Chang Lin, Sheng-Fuu

Predmety: subpixel accuracy, TSK-type neuro-fuzzy network, data-mining based evolutionary learning algorithm, regularized least square

Relation: http://asp.eurasipjournals.com/content/2011/1/96

Dostupnosť: http://asp.eurasipjournals.com/content/2011/1/96

Data mining-based hierarchical cooperative coevolutionary algorithm for TSK-type neuro-fuzzy networks design.

Autori: Hsu, Chi-Yao Lin, Sheng-Fuu Chang, Jyun-Wei

Zdroj: Neural Computing & Applications. Aug2013, Vol. 23 Issue 2, p485-498. 14p. 8 Diagrams, 6 Charts, 1 Graph.

Predmety: *DATA mining, *HIERARCHICAL Bayes model, *EVOLUTIONARY algorithms, *FUZZY systems, *THREE-dimensional imaging, *COMPUTER networks, *COMPUTER systems

Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data

Autori: Moncef Garouani Adeel Ahmad Mourad Bouneffa a ďalší

Zdroj: Journal of Big Data, Vol 9, Iss 1, Pp 1-20 (2022)

Predmety: Algorithms selection, Machine learning, AutoML, Meta-learning, Industry 4.0, Big industrial data, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2196-1115

Prístupová URL adresa: https://doaj.org/article/baf05cc1c68949049ec48a693eb87a2e

Reinforcement evolutionary learning using data mining algorithm with TSK-type fuzzy controllers

Autori: Hsu, Chi-Yao Hsu, Yung-Chi Lin, Sheng-Fuu

Zdroj: Applied Soft Computing. Apr2011, Vol. 11 Issue 3, p3247-3259. 13p.

Predmety: Reinforcement learning, Evolutionary computation, Algorithms, Data mining, Fuzzy sets, Association rule mining

Evolutionary computing for clinical dataset classification using a novel feature selection algorithm.

Autori: Sheth, Pranali D. Patil, Shrishailappa T. Dhore, Manikrao L.

Zdroj: Journal of King Saud University - Computer & Information Sciences. Sep2022:Part A, Vol. 34 Issue 8, p5075-5082. 8p.

Predmety: Feature selection, Decision support systems, Algorithms, Machine learning, Data mining, Classification

MLP-TLBO: Combining Multi-Layer Perceptron Neural Network and Teaching-Learning-Based Optimization for Breast Cancer Detection.

Autori: Cui, Yuzhen Li, Xiaoqian Wang, Yaoyao a ďalší

Zdroj: Cybernetics & Systems. 2025, Vol. 56 Issue 3, p242-269. 28p.

Predmety: *PARTICLE swarm optimization, *CANCER diagnosis, *EARLY detection of cancer, *BREAST cancer, *MEDICAL assistants, *BREAST

Hybrid Iterative and Tree-Based Machine Learning Algorithms for Lake Water Level Forecasting.

Autori: Fijani, Elham Khosravi, Khabat

Zdroj: Water Resources Management; Nov2023, Vol. 37 Issue 14, p5431-5457, 27p

Predmety: MACHINE learning, BOX-Jenkins forecasting, WATER levels, WATER management, FORECASTING, WATER resources development, BOOTSTRAP aggregation (Algorithms), LAKES

Evolutionary computing for clinical dataset classification using a novel feature selection algorithm

Autori: Pranali D. Sheth Shrishailappa T. Patil Manikrao L. Dhore

Zdroj: Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 5075-5082 (2022)

Predmety: Classification, Evolutionary algorithms, Feature selection, Jaya Optimization Algorithm, Multi-objective optimization, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1319157820306200; https://doaj.org/toc/1319-1578

Prístupová URL adresa: https://doaj.org/article/21a846ea875741a0b1362e0da4aeede2

Precise image alignment using cooperative neural-fuzzy networks with association rule mining-based evolutionary learning algorithm.

Autori: Chi-Yao Hsu Yi-Chang Cheng Sheng-Fuu Lin

Zdroj: Optical Engineering; Feb2012, Vol. 51 Issue 2, p027006-1-027006-15, 15p

Predmety: IMAGING systems, IMAGE processing, FUZZY control systems, FUZZY logic, CONTROL theory (Engineering)

A high utility itemsets mining algorithm based on co-evolution.

Autori: Yang W Han M Dai Z a ďalší

Zdroj: Scientific reports [Sci Rep] 2025 Dec 03. Date of Electronic Publication: 2025 Dec 03.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

DRMM: A novel data mining-based emotion transfer detecting method for emotion prediction of social media.

Autori: Shi, Wei Xue, Guangcong Yin, Xicheng a ďalší

Zdroj: Journal of Information Science; Jun2024, Vol. 50 Issue 3, p590-606, 17p

Predmety: AFFECTIVE forecasting (Psychology), EMOTION recognition, ASSOCIATION rule mining, EMOTIONAL state, MICROBLOGS, SOCIAL prediction, MACHINE learning, STANDARD deviations, ANALYTIC hierarchy process

Evolving Dispatching Rules in Improved BWO Heuristic Algorithm for Job-Shop Scheduling.

Autori: Zhang, Zhen Jin, Xin Wang, Yue

Zdroj: Electronics (2079-9292); Jul2024, Vol. 13 Issue 13, p2635, 30p

Predmety: PRODUCTION scheduling, HEURISTIC algorithms, METAHEURISTIC algorithms, MACHINE learning, OPTIMIZATION algorithms, MAXIMUM power point trackers, DATA mining, FLOW shops

Geografický termín: GERMANY (East)

Prediction of the Height of Water-Conducting Fissure Zone for Shallow-Buried Coal Seams Under Fully Mechanized Caving Conditions in Northern Shaanxi Province.

Autori: Chen, Wei Geng, Shujia Chen, Xi a ďalší

Zdroj: Water (20734441); Feb2025, Vol. 17 Issue 3, p312, 24p

Predmety: ARTIFICIAL neural networks, PARTICLE swarm optimization, SUPPORT vector machines, NONLINEAR regression, RANDOM forest algorithms

Machine Learning Approach for Metabolic Syndrome Diagnosis Using Explainable Data-Augmentation-Based Classification.

Autori: Sghaireen, Mohammed G. Al-Smadi, Yazan Al-Qerem, Ahmad a ďalší

Zdroj: Diagnostics (2075-4418); Dec2022, Vol. 12 Issue 12, p3117, 21p

Predmety: METABOLIC syndrome, MACHINE learning, INTRA-abdominal hypertension, DATA augmentation, FEATURE selection, HYPERTENSION risk factors

PRIVACY PROTECTION BASED DISTRIBUTED CLUSTERING WITH DEEP LEARNING ALGORITHM FOR DISTRIBUTED DATA MINING.

Alternate Title: РОЗПОДІЛЕНА КЛАСТЕРИЗАЦІЯ НА ОСНОВІ ЗАХИСТУ КОНФІДЕНЦІЙНОСТІ З АЛГОРИТМОМ ГЛУБОКОГО НАВЧАННЯ ДЛЯ РОЗПОДІЛОГО МАЙНІНГУ ДАНИХ. (Ukrainian)

Autori: Mahmood, Alaa Thamer Naser, Raed Kamil Abd, Sura Khalil

Zdroj: Eastern-European Journal of Enterprise Technologies; 2022, Vol. 118 Issue 9, p48-58, 11p

Predmety: MACHINE learning, DATA mining, DISTRIBUTED algorithms, DEEP learning, PRIVACY, DATA security

Text mining based an automatic model for software vulnerability severity prediction.

Autori: Malhotra, Ruchika Vidushi

Zdroj: International Journal of Systems Assurance Engineering & Management; Aug2024, Vol. 15 Issue 8, p3706-3724, 19p

Hybrid river stage forecasting based on machine learning with empirical mode decomposition.

Autori: Heddam, Salim Vishwakarma, Dinesh Kumar Abed, Salwan Ali a ďalší

Zdroj: Applied Water Science; Mar2024, Vol. 14 Issue 3, p1-23, 23p

Predmety: ARTIFICIAL neural networks, MACHINE learning, HILBERT-Huang transform, FORECASTING, RANDOM forest algorithms

An improved hybrid structure learning strategy for Bayesian networks based on ensemble learning.

Autori: Gao, Wenlong Zeng, Zhimei Ma, Xiaojie a ďalší

Zdroj: Intelligent Data Analysis; 2023, Vol. 27 Issue 4, p1103-1120, 18p

Predmety: BAYESIAN analysis, BLENDED learning, LEARNING strategies, MACHINE learning, PARALLEL algorithms, PROBLEM solving, GENETIC algorithms

Adaptive Data Selection-Based Machine Learning Algorithm for Prediction of Component Obsolescence.

Autori: Moon, Kyoung-Sook Lee, Hee Won Kim, Hongjoong

Zdroj: Sensors (14248220); Oct2022, Vol. 22 Issue 20, pN.PAG-N.PAG, 21p

Predmety: PRODUCT obsolescence, OBSOLESCENCE, MACHINE learning, TECHNOLOGICAL obsolescence, CUSTOMER satisfaction, NEW product development, FORECASTING