Results 51 to 60 of about 269,671 (328)

Using intelligent optimization methods to improve the group method of data handling in time series prediction [PDF]

open access: yes, 2008
In this paper we show how the performance of the basic algorithm of the Group Method of Data Handling (GMDH) can be improved using Genetic Algorithms (GA) and Particle Swarm Optimization (PSO).
A. Episcopos   +7 more
core   +1 more source

Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete

open access: yesApplied Sciences, 2019
Channel shear connectors are known as an appropriate alternative for common shear connectors due to having a lower manufacturing cost and an easier installation process.
M. Shariati   +9 more
semanticscholar   +1 more source

Optimum SHE for cascaded H-bridge multilevel inverters using: NR-GA-PSO, comparative study [PDF]

open access: yes, 2015
Selective Harmonic Elimination (SHE) is very widely applied technique in the control of multilevel inverters that can be used to eliminate the low order dominant harmonics.
Alamri, B, Darwish, M, Sallama, A
core   +1 more source

Clustered Hybrid Wind Power Prediction Model Based on ARMA, PSO-SVM, and Clustering Methods

open access: yesIEEE Access, 2020
Wind power prediction is the key technology to the safe dispatch and stable operation of power system with large-scale integration of wind power. In this work, based on the historical data of wind power, wind speed and temperature, the autoregressive ...
Yurong Wang, Dongchuan Wang, Yi Tang
semanticscholar   +1 more source

PSO based Hyperparameter tuning of CNN Multivariate Time- Series Analysis

open access: yesJOIN: Jurnal Online Informatika, 2022
Convolutional Neural Network (CNN) is an effective Deep Learning (DL) algorithm that solves various image identification problems. The use of CNN for time-series data analysis is emerging.
Agung Bella Putra Utama   +3 more
doaj   +1 more source

The ℤ₂ x ℤ₂-graded Lie superalgebra (2m +1|2n) and new parastatistics representations [PDF]

open access: yes, 2018
When the relative commutation relations between a set of m parafermions and n parabosons are of 'relative parafermion type', the underlying algebraic structure is the classical orthosymplectic Lie superalgebra (LSA) osp(2m + 1|2n).
Stoilova, NI, Van der Jeugt, Joris
core   +2 more sources

An Improved Routing Schema with Special Clustering Using PSO Algorithm for Heterogeneous Wireless Sensor Network

open access: yesItalian National Conference on Sensors, 2019
Energy efficiency and energy balancing are crucial research issues as per routing protocol designing for self-organized wireless sensor networks (WSNs).
Jin Wang   +4 more
semanticscholar   +1 more source

Air Quality Prediction Using Improved PSO-BP Neural Network

open access: yesIEEE Access, 2020
Predicting urban air quality is a significant aspect of preventing urban air pollution and improving the living environment of urban residents. The air quality index (AQI) is a dimensionless tool for quantitatively describing air quality.
Yuan Huang   +3 more
semanticscholar   +1 more source

Improved dynamical particle swarm optimization method for structural dynamics [PDF]

open access: yes, 2019
A methodology to the multiobjective structural design of buildings based on an improved particle swarm optimization algorithm is presented, which has proved to be very efficient and robust in nonlinear problems and when the optimization objectives are in
Annicchiarico, W. C.   +1 more
core   +2 more sources

Information Transmission Strategies for Self‐Organized Robotic Aggregation

open access: yesAdvanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng   +5 more
wiley   +1 more source

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