Search Results - data-mining based evolutionary learning algorithm

Validation, improvement, and data mining of machine learning predictive models for large white male turkey body weight.

Authors: Flores, Karlinton R. Reading, Benjamin R. Grimes, Jesse L.

Source: German Journal of Veterinary Research. 2025, Vol. 5 Issue 3, p42-58. 17p.

Subjects: Machine learning, Data mining, Turkeys, Microbiota, Model validation, Body weight, Prediction models, Genetic variation

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

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

Source: EURASIP Journal on Advances in Signal Processing. 2011

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: 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

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

Subject Terms: 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

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

Predicting Protein Secondary Structure Using Consensus Data Mining (CDM) Based on Empirical Statistics and Evolutionary Information

Authors: Kandoi, Gaurav Leelananda, Sumudu P Jernigan, Robert L et al.

Subject Terms: Biochemistry and Cell Biology, Bioinformatics and Computational Biology, Biological Sciences, Generic health relevance, Algorithms, Amino Acid Sequence, Data Mining, Protein Structure, Secondary, Proteins, Sequence Alignment, Software, Secondary structure, Protein structure prediction, GOR, Fragment database mining, Consensus data mining, Machine learning, Multiple sequence alignments, Other Chemical Sciences, Developmental Biology, Biochemistry and cell biology, Medicinal and biomolecular chemistry

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/94x6c2r4
https://escholarship.org/content/qt94x6c2r4/qt94x6c2r4.pdf

Evolving machine learning and deep learning models using evolutionary algorithms

Authors: Xie, Hailun Zhang, Li Wei, Shen et al.

Contributors: Xie, Hailun Zhang, Li Wei, Shen et al.

Subject Terms: 006.3, G400 Computer Science

Access URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.836250

Novel evolutionary-EAC instance-learning-based algorithm for fast data stream mining in assisted living with extreme connectivity.

Authors: Hu, Shimin Fong, Simon Song, Wei et al.

Source: Computing. Jul2021, Vol. 103 Issue 7, p1519-1543. 25p.

Subject Terms: *DATA mining, *ALGORITHMS, CONGREGATE housing, HUMAN activity recognition, FEATURE selection, MACHINE learning

Scalability of multi-objective evolutionary algorithms for solving real-world complex optimization problems

Authors: Gaspar-Cunha, A. Costa, Paulo Monaco, Francisco et al.

Contributors: Gaspar-Cunha, A. Costa, Paulo Monaco, Francisco et al.

Subject Terms: Objectives reduction, Data Mining, MOEAs, Many objectives

File Description: application/pdf

Relation: 978-3-031-27249-3; 0302-9743

Availability: https://hdl.handle.net/1822/87569

Predicting weaning weight in Hair goat kids: a comparative analysis of tree-based machine learning approaches using environmental and herd data.

Authors: Esener, Necati Kal, Yavuz

Source: Animal Production Science. 2025, Vol. 65 Issue 9, p1-12. 12p.

Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.

Authors: Akbarein, Hesameddin Taaghi, Mohammad Hussein Mohebbi, Mahyar et al.

Source: Veterinary Medicine & Science. May2025, Vol. 11 Issue 3, p1-29. 29p.

Subjects: Machine learning, Artificial intelligence, Veterinary medicine, Resource allocation, Medical research

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

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

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

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

Deep Learning-based Evolutionary Recommendation Model for Heterogeneous Big Data Integration.

Authors: Hyun Yoo Kyungyong Chung

Source: KSII Transactions on Internet & Information Systems. Sep2020, Vol. 14 Issue 9, p3730-3744. 15p.

Subject Terms: Recommender systems, Deep learning, Data integration, Evolutionary models, Big data

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

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

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

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

New Hybrid Learning Models for Multi-label Classification and Label Ranking
Nuevos Modelos de Aprendizaje Híbrido para Clasificación y Ordenamiento Multi-Etiqueta

Authors: Reyes Pupo, Oscar Gabriel

Thesis Advisors: Ventura Soto, S.

Subject Terms: Clasificación Multi-Etiqueta, Tratamiento de datos, Aprendizaje híbrido, Estimación de atributos, Minería de datos, Inteligencia artificial, Multi-label classification, Data treatment, Hybrid learning, Feature estimation, Evolutionary algorithms, Data Mining (DM), Artificial intelligence

Access URL: http://hdl.handle.net/10396/14095

Machine learning approach as an early warning system to prevent foodborne Salmonella outbreaks in northwestern Italy.

Authors: Garcia-Vozmediano, Aitor Maurella, Cristiana Ceballos, Leonardo A. et al.

Source: Veterinary Research. 6/5/2024, Vol. 55 Issue 1, p1-14. 14p.

Subjects: Machine learning, Salmonella, Foodborne diseases, Salmonella diseases, Random forest algorithms, Boosting algorithms, Street food

Geographic Terms: Italy

An initialization technique for geometric semantic geneticprogramming based on demes evolution and despeciation : machine learning for rare diseases: a case study

Authors: Bakurov, Illya Vanneschi, Leonardo Castelli, Mauro et al.

Contributors: Bakurov, Illya Vanneschi, Leonardo Castelli, Mauro et al.

Subject Terms: Genetic Programming, Geometric Semantic Genetic Programming, Initialization, Programação Genética em Geometria Semântica, Programação Genética, Data Mining, Algoritmos Evolutivos, Aprendizagem Automática

File Description: application/pdf

Availability: http://hdl.handle.net/10362/34384

A scalable evolutionary learning classifier system for knowledge discovery in stream data mining

Authors: Dam, Hai Huong, Information Technology & Electrical Engineering, Australian Defence Force Academy, UNSW

Subject Terms: Data mining, Action map, Classification, Data stream, Neural network, Noisy data, Non-stationary environment, Reinforcement learning, Rule-based system, Static environment, Stream data mining, Supervised learning, Distributed data mining, Dynamic environment, Ensemble learning, Evolutionary computation, Genetic algorithm, Knowledge discovery, Learning classifier system, Negative correlation learning

Availability: http://handle.unsw.edu.au/1959.4/38865

Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification.

Authors: Kalia, Harihar Dehuri, Satchidananda Ghosh, Ashish et al.

Source: International Journal of Fuzzy Systems. Aug2018, Vol. 20 Issue 6, p1938-1955. 18p.

Subject Terms: Genetic algorithms, Fuzzy systems, Fuzzy sets, Data mining, Fuzzy mathematics, Combinatorial optimization, Evolutionary algorithms, Evolutionary computation

A scalable evolutionary learning classifier system for knowledge discovery in stream data mining

Authors: Dam, Hai Huong

Index Terms: Data mining, Action map, Classification, Data stream, Neural network, Noisy data, Non-stationary environment, Reinforcement learning, Rule-based system, Static environment, Stream data mining, Supervised learning, Distributed data mining, Dynamic environment, Ensemble learning, Evolutionary computation, Genetic algorithm, Knowledge discovery, Learning classifier system, Negative correlation learning, doctoral thesis, http://purl.org/coar/resource_type/c_db06

URL: http://hdl.handle.net/1959.4/38865
https://unsworks.unsw.edu.au/bitstreams/a938c8ff-5e14-4741-ad64-d679ad9a666a/download
https://doi.org/10.26190/unsworks/18102

Assessing machine learning techniques in forecasting lumpy skin disease occurrence based on meteorological and geospatial features.

Authors: Afshari Safavi, Ehsanallah¹ (AUTHOR) eafshari@um.ac.ir

Source: Tropical Animal Health & Production. Feb2022, Vol. 54 Issue 1, p1-7. 7p.

Machine Learning Based Prediction for Solving Veterinary Data Problems: A Review.

Authors: Hassan, Fardos A. M. Moawed, Sherif A. El-Araby, Iman E. et al.

Source: Journal of Advanced Veterinary Research. 2022, Vol. 12 Issue 6, p798-802. 5p.