-
781
Accurate robot calibration via cascaded adaptive momentum LM and B-spline interpolated PSO
Published 2025-07-01Get full text
Article -
782
The ADBPSO-LightGBM internal threat detection framework based on hybrid data balancing
Published 2025-12-01Get full text
Article -
783
A Hybrid Whale Optimization Approach for Fast-Convergence Global Optimization
Published 2025-06-01Get full text
Article -
784
-
785
-
786
Machine Learning-Based Lithium Battery State of Health Prediction Research
Published 2025-01-01Get full text
Article -
787
Automated Pruning Framework for Large Language Models Using Combinatorial Optimization
Published 2025-05-01Get full text
Article -
788
-
789
-
790
Short-Term Power Load Forecasting Based on DPSO-LSSVM Model
Published 2025-01-01Get full text
Article -
791
Chaotic-mapping and Gaussian perturbation-based multi-channel constant modulus blind equalization
Published 2025-05-01Get full text
Article -
792
A Novel Grey Prediction Model: A Hybrid Approach Based on Extension of the Fractional Order Discrete Grey Power Model with the Polynomial-Driven and PSO-GWO Algorithm
Published 2025-02-01“…The estimation of unknown parameters is carried out by leveraging a hybrid optimization algorithm, which integrates Particle Swarm Optimization (PSO) and the Grey Wolf Optimization (GWO) algorithm. …”
Get full text
Article -
793
Spurious-Free Dynamic Range Augmentation for Digital-to-Analog Converters using PSO-PID Adaptive Algorithms
Published 2025-01-01Get full text
Article -
794
A new localization method based on improved particle swarm optimization for wireless sensor networks
Published 2022-06-01Get full text
Article -
795
Size optimization method of the Watt-II six-bar mechanism based on particle swarm optimization
Published 2025-05-01Get full text
Article -
796
Hybrid particle swarm optimization and semi-supervised extreme learning machine for cellular network localization
Published 2017-06-01“…To address this problem, we propose a novel algorithm by combining particle swarm optimization and semi-supervised extreme learning machine to automatically select the optimal hyper parameters of semi-supervised extreme learning machine in this article. …”
Get full text
Article -
797
Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model
Published 2022-01-01“…In view of these characteristics, this paper has conducted in-depth research to fully prove the feasibility and superiority of the content of this article. The specific summary is as follows: (1) Introduced the design concept of particle swarm optimization teaching evaluation system. (2) The use of object-oriented programming algorithms makes it easier for the algorithm to find an entry point, solve practical problems, and optimize the reusability of the algorithm method. (3) Particle swarm optimization based on quantum behavior, adjusting parameter values, the highest and the lowest, greatly reduces the difficulty of program parameter adjustment. (4) In terms of operation, it can quickly and efficiently complete the maintenance of teacher teaching information, evaluation relationship management of teacher teaching quality evaluation, evaluation content management, student evaluation, supervision evaluation, college leadership evaluation, evaluation performance management, and other operations. …”
Get full text
Article -
798
Dynamic Deployment for Hybrid Sensor Networks Based on Potential Field-Directed Particle Swarm Optimization
Published 2015-09-01Get full text
Article -
799
-
800
Minimum energy consumption multicast routing in ad hoc networks based on particle swarm optimization
Published 2012-03-01Get full text
Article