Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm
Authors
Keywords
Sine cosine algorithm, Disperse foraging strategy, Kernel extreme learning machine, Parameter optimization, Medical diagnosis
Journal
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 141, Issue -, Pages 105137
Publisher
Elsevier BV
Online
2021-12-16
DOI
10.1016/j.compbiomed.2021.105137
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Hunger Games Search: Visions, Conception, Implementation, Deep Analysis, Perspectives, and Towards Performance Shifts
- (2021) Yutao Yang et al. EXPERT SYSTEMS WITH APPLICATIONS
- RUN Beyond the Metaphor: An Efficient Optimization Algorithm Based on Runge Kutta Method
- (2021) Iman Ahmadianfar et al. EXPERT SYSTEMS WITH APPLICATIONS
- An effective approach for the protection of user commodity viewing privacy in e-commerce website
- (2021) Zongda Wu et al. KNOWLEDGE-BASED SYSTEMS
- Network differentiation: A computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science
- (2021) Qiang Xu et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Evolving fuzzy k-nearest neighbors using an enhanced sine cosine algorithm: Case study of lupus nephritis
- (2021) Shubiao Wu et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Risk-Averse Storage Planning for Improving RES Hosting Capacity Under Uncertain Siting Choices
- (2021) Xiaoyu Cao et al. IEEE Transactions on Sustainable Energy
- Review on deep learning applications in frequency analysis and control of modern power system
- (2021) Yi Zhang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Sensor Combination Selection Strategy for Kayak Cycle Phase Segmentation Based on Body Sensor Networks
- (2021) Sen Qiu et al. IEEE Internet of Things Journal
- A band selection approach based on Lévy sine cosine algorithm and alternative distribution for hyperspectral image
- (2020) Mingwei Wang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A dummy-based user privacy protection approach for text information retrieval
- (2020) Zongda Wu et al. KNOWLEDGE-BASED SYSTEMS
- A novel classification method based on ICGOA-KELM for fault diagnosis of rolling bearing
- (2020) Peng Chen et al. APPLIED INTELLIGENCE
- Multiobjective Hyperspectral Feature Selection Based on Discrete Sine Cosine Algorithm
- (2020) Yuting Wan et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Kernel extreme learning machine for flatness pattern recognition in cold rolling mill based on particle swarm optimization
- (2020) Xiaogang Li et al. Journal of the Brazilian Society of Mechanical Sciences and Engineering
- An improved scheme for digital mammogram classification using weighted chaotic salp swarm algorithm-based kernel extreme learning machine
- (2020) Figlu Mohanty et al. APPLIED SOFT COMPUTING
- Pyramid Channel-based Feature Attention Network for image dehazing
- (2020) Xiaoqin Zhang et al. COMPUTER VISION AND IMAGE UNDERSTANDING
- Chaotic oppositional sine–cosine method for solving global optimization problems
- (2020) Xi Liang et al. ENGINEERING WITH COMPUTERS
- Constructing dummy query sequences to protect location privacy and query privacy in location-based services
- (2020) Zongda Wu et al. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
- Multi-core Sine Cosine Optimization: Methods and Inclusive Analysis
- (2020) Wei Zhou et al. EXPERT SYSTEMS WITH APPLICATIONS
- Slime mould algorithm: A new method for stochastic optimization
- (2020) Shimin Li et al. Future Generation Computer Systems-The International Journal of eScience
- Multi-Branch Deep Residual Learning for Clustering and Beamforming in User-Centric Network
- (2020) Yuan He et al. IEEE COMMUNICATIONS LETTERS
- Carbon pricing prediction based on wavelet transform and K-ELM optimized by bat optimization algorithm in China ETS: the case of Shanghai and Hubei carbon markets
- (2019) Sun Wei et al. Carbon Management
- Metabolomics Analysis in Acute Paraquat Poisoning Patients Based on UPLC-Q-TOF-MS and Machine Learning Approach
- (2019) Congcong Wen et al. CHEMICAL RESEARCH IN TOXICOLOGY
- Hybrid intelligent deep kernel incremental extreme learning machine based on differential evolution and multiple population grey wolf optimization methods
- (2019) Di Wu et al. Automatika
- Analysis of high-dimensional genomic data employing a novel bio-inspired algorithm
- (2019) Santos Kumar Baliarsingh et al. APPLIED SOFT COMPUTING
- A user sensitive subject protection approach for book search service
- (2019) Zongda Wu et al. Journal of the Association for Information Science and Technology
- Riesz fractional derivative Elite-guided sine cosine algorithm
- (2019) Wenyan Guo et al. APPLIED SOFT COMPUTING
- Using a kernel extreme learning machine with grey wolf optimization to predict the displacement of step-like landslide
- (2019) Kang Liao et al. Bulletin of Engineering Geology and the Environment
- An opposition-based sine cosine approach with local search for parameter estimation of photovoltaic models
- (2019) Huiling Chen et al. ENERGY CONVERSION AND MANAGEMENT
- Harris hawks optimization: Algorithm and applications
- (2019) Ali Asghar Heidari et al. Future Generation Computer Systems-The International Journal of eScience
- Hybrid sine cosine artificial bee colony algorithm for global optimization and image segmentation
- (2019) Shubham Gupta et al. NEURAL COMPUTING & APPLICATIONS
- A novel hybrid sine cosine algorithm for global optimization and its application to train multilayer perceptrons
- (2019) Shubham Gupta et al. APPLIED INTELLIGENCE
- An enhanced Bacterial Foraging Optimization and its application for training kernel extreme learning machine
- (2019) Huiling Chen et al. APPLIED SOFT COMPUTING
- Restricted-Boltzmann-Based Extreme Learning Machine for Gas Path Fault Diagnosis of Turbofan Engine
- (2019) Feng Lu et al. IEEE Transactions on Industrial Informatics
- A Risk-Averse Conic Model for Networked Microgrids Planning With Reconfiguration and Reorganizations
- (2019) Xiaoyu Cao et al. IEEE Transactions on Smart Grid
- Advanced orthogonal learning-driven multi-swarm sine cosine optimization: Framework and case studies
- (2019) Hao Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Evolving Deep Convolutional Neural Networks for Image Classification
- (2019) Yanan Sun et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking
- (2018) Hathiram Nenavath et al. APPLIED SOFT COMPUTING
- A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm
- (2018) Jianzhou Wang et al. ENERGY CONVERSION AND MANAGEMENT
- ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment
- (2018) Mohamed Issa et al. EXPERT SYSTEMS WITH APPLICATIONS
- Parameter optimization of support vector regression based on sine cosine algorithm
- (2018) Sai Li et al. EXPERT SYSTEMS WITH APPLICATIONS
- Optimal power flow solution in power systems using a novel Sine-Cosine algorithm
- (2018) Abdel-Fattah Attia et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Context based image segmentation using antlion optimization and sine cosine algorithm
- (2018) Diego Oliva et al. MULTIMEDIA TOOLS AND APPLICATIONS
- An improved sine–cosine algorithm based on orthogonal parallel information for global optimization
- (2018) Rizk M. Rizk-Allah SOFT COMPUTING
- Multiple Features With Extreme Learning Machines For Clothing Image Recognition
- (2018) Ruifan Li et al. IEEE Access
- Metaheuristic-based extreme learning machines: a review of design formulations and applications
- (2018) Mohammed Eshtay et al. International Journal of Machine Learning and Cybernetics
- A synergy of the sine-cosine algorithm and particle swarm optimizer for improved global optimization and object tracking
- (2018) Hathiram Nenavath et al. Swarm and Evolutionary Computation
- An improved grasshopper optimization algorithm with application to financial stress prediction
- (2018) Jie Luo et al. APPLIED MATHEMATICAL MODELLING
- A Hybrid Fault Diagnosis Approach for Rotating Machinery with the Fusion of Entropy-Based Feature Extraction and SVM Optimized by a Chaos Quantum Sine Cosine Algorithm
- (2018) Wenlong Fu et al. Entropy
- A New Effective Machine Learning Framework for Sepsis Diagnosis
- (2018) Xianchuan Wang et al. IEEE Access
- Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis
- (2018) Ranjeeta Bisoi et al. APPLIED SOFT COMPUTING
- Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients
- (2018) Xuehua Zhao et al. COMPUTATIONAL BIOLOGY AND CHEMISTRY
- Hybrid kernel extreme learning machine for evaluation of athletes' competitive ability based on particle swarm optimization
- (2018) Zhao Yanpeng COMPUTERS & ELECTRICAL ENGINEERING
- A survey on metaheuristic optimization for random single-hidden layer feedforward neural network
- (2018) Fei Han et al. NEUROCOMPUTING
- Improved sine cosine algorithm with crossover scheme for global optimization
- (2018) Shubham Gupta et al. KNOWLEDGE-BASED SYSTEMS
- Multi-strategy ensemble grey wolf optimizer and its application to feature selection
- (2018) Qiang Tu et al. APPLIED SOFT COMPUTING
- A hybrid self-adaptive sine cosine algorithm with opposition based learning
- (2018) Shubham Gupta et al. EXPERT SYSTEMS WITH APPLICATIONS
- Solving high-dimensional global optimization problems using an improved sine cosine algorithm
- (2018) Wen Long et al. EXPERT SYSTEMS WITH APPLICATIONS
- Optimization of transesterification process for Ceiba pentandra oil: A comparative study between kernel-based extreme learning machine and artificial neural networks
- (2017) F. Kusumo et al. ENERGY
- Grey wolf optimization evolving kernel extreme learning machine: Application to bankruptcy prediction
- (2017) Mingjing Wang et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Metaheuristic design of feedforward neural networks: A review of two decades of research
- (2017) Varun Kumar Ojha et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- An improved Opposition-Based Sine Cosine Algorithm for global optimization
- (2017) Mohamed Abd Elaziz et al. EXPERT SYSTEMS WITH APPLICATIONS
- Multi-objective sine-cosine algorithm (MO-SCA) for multi-objective engineering design problems
- (2017) Mohamed A. Tawhid et al. NEURAL COMPUTING & APPLICATIONS
- Sine–cosine algorithm for feature selection with elitism strategy and new updating mechanism
- (2017) R. Sindhu et al. NEURAL COMPUTING & APPLICATIONS
- Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses
- (2017) Mingjing Wang et al. NEUROCOMPUTING
- A new machine-learning method to prognosticate paraquat poisoned patients by combining coagulation, liver, and kidney indices
- (2017) Lufeng Hu et al. PLoS One
- Solution of short-term hydrothermal scheduling using sine cosine algorithm
- (2017) Sujoy Das et al. SOFT COMPUTING
- An Effective Computational Model for Bankruptcy Prediction Using Kernel Extreme Learning Machine Approach
- (2016) Dong Zhao et al. Computational Economics
- Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis
- (2016) Jing Tian et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- An Automatic Diagnosis System for Hepatitis Diseases Based on Genetic Wavelet Kernel Extreme Learning Machine
- (2016) Derya Avci Journal of Electrical Engineering & Technology
- SCA: A Sine Cosine Algorithm for solving optimization problems
- (2016) Seyedali Mirjalili KNOWLEDGE-BASED SYSTEMS
- Extreme learning machine and adaptive sparse representation for image classification
- (2016) Jiuwen Cao et al. NEURAL NETWORKS
- Study on suitability and importance of multilayer extreme learning machine for classification of text data
- (2016) Rajendra Kumar Roul et al. SOFT COMPUTING
- A kernel extreme learning machine algorithm based on improved particle swam optimization
- (2016) Huijuan Lu et al. Memetic Computing
- An Efficient and Effective Automatic Recognition System for Online Recognition of Foreign Fibers in Cotton
- (2016) Xuehua Zhao et al. IEEE Access
- An efficient machine learning approach for diagnosis of paraquat-poisoned patients
- (2015) Lufeng Hu et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Modified cuckoo search algorithm with self adaptive parameter method
- (2015) Xiangtao Li et al. INFORMATION SCIENCES
- Modeling and optimization of biodiesel engine performance using kernel-based extreme learning machine and cuckoo search
- (2015) Pak Kin Wong et al. RENEWABLE ENERGY
- A hybrid forecasting model with parameter optimization for short-term load forecasting of micro-grids
- (2014) Nian Liu et al. APPLIED ENERGY
- Extreme learning machine: algorithm, theory and applications
- (2013) Shifei Ding et al. ARTIFICIAL INTELLIGENCE REVIEW
- A fast approach for detection of erythemato-squamous diseases based on extreme learning machine with maximum relevance minimum redundancy feature selection
- (2013) Tong Liu et al. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
- 2-D defect profile reconstruction from ultrasonic guided wave signals based on QGA-kernelized ELM
- (2013) Bing Liu et al. NEUROCOMPUTING
- Particle Swarm Optimization With an Aging Leader and Challengers
- (2012) Wei-Neng Chen et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Novel Artificial Bee Colony Algorithm Based on Modified Search Equation and Orthogonal Learning
- (2012) Wei-feng Gao et al. IEEE Transactions on Cybernetics
- Extreme Learning Machine for Regression and Multiclass Classification
- (2011) Guang-Bin Huang et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- An effective memetic differential evolution algorithm based on chaotic local search
- (2011) Dongli Jia et al. INFORMATION SCIENCES
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
- (2011) Joaquín Derrac et al. Swarm and Evolutionary Computation
- Cluster Guide Particle Swarm Optimization (CGPSO) for Underdetermined Blind Source Separation With Advanced Conditions
- (2010) Tsung-Ying Sun et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now