Search Result "fuzzy support vector machine network"

Prediction of Protein Structure Classes with Pseudo Amino Acid Composition and Fuzzy Support Vector Machine Network

Journal: Protein & Peptide Letters
Volume: 14 Issue: 8 Year: 2007 Page: 811-815
Author(s): Yong-Sheng Ding, Tong-Liang Zhang, Kuo-Chen Chou

Method and Grid Workflow on Water Consumption Forecasting of Ziyang City Based on Support Vector Machine Trained by Genetic Algorithm

Journal: Recent Patents on Engineering
Volume: 4 Issue: 1 Year: 2010 Page: 51-55
Author(s): Hao-Lan Yang, Shi-Chang Li, Feng-Chuan Zhang, Zhong-Fu Wu

Prediction using Machine Learning

Ebook: Handbook of Artificial Intelligence
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124514123010005

Discrimination of Thermostable and Thermophilic Lipases Using Support Vector Machines

Journal: Protein & Peptide Letters
Volume: 18 Issue: 7 Year: 2011 Page: 707-717
Author(s): Wei Zhao, Xunzhang Wang, Riqiang Deng, Jinwen Wang, Hongbo Zhou

Research Article

A Machine Learning Approach to Predict the Performance of Refrigerator and Air Conditioning Using Gaussian Process Regression and Support Vector Methods

Journal: Recent Patents on Mechanical Engineering
Volume: 14 Issue: 4 Year: 2021 Page: 550-557
Author(s): Harinarayan Sharma,Sonam Kumari,Aniket K. Dutt,Pawan Kumar,Mamookho E. Makhatha

Research Article

Classification of Benign and Malignant Breast Masses on Mammograms for Large Datasets using Core Vector Machines

Journal: Current Medical Imaging
Volume: 16 Issue: 6 Year: 2020 Page: 703-710
Author(s): Jebasonia Jebamony,Dheeba Jacob

Weka Machine Learning for Predicting the Phospholipidosis Inducing Potential

Journal: Current Topics in Medicinal Chemistry
Volume: 8 Issue: 1 Year: 2008 Page: 1691-1709
Author(s): Ovidiu Ivanciuc

A New Fuzzy Time Series Forecasting Model with Neural Network Structure

Ebook: Advances in Time Series Forecasting
Volume: 2 Year: 2017
Author(s): Eren Bas,Erol Egrioglu
Doi: 10.2174/9781681085289117020004

Research Article

Boosting Granular Support Vector Machines for the Accurate Prediction of Protein-Nucleotide Binding Sites

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 22 Issue: 7 Year: 2019 Page: 455-469
Author(s): Yi-Heng Zhu,Jun Hu,Yong Qi,Xiao-Ning Song,Dong-Jun Yu

Using the Concept of Chous Pseudo Amino Acid Composition to Predict Enzyme Family Classes: An Approach with Support Vector Machine Based on Discrete Wavelet Transform

Journal: Protein & Peptide Letters
Volume: 17 Issue: 6 Year: 2010 Page: 715-722
Author(s): Jian-Ding Qiu, Jian-Hua Huang, Shao-Ping Shi, Ru-Ping Liang

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