Results 41 to 50 of about 162,419 (260)
PSO based Neural Networks vs. Traditional Statistical Models for Seasonal Time Series Forecasting
, 2013 Seasonality is a distinctive characteristic which is often observed in many practical time series. Artificial Neural Networks (ANNs) are a class of promising models for efficiently recognizing and forecasting seasonal patterns.
Adhikari, Ratnadip +2 more
core +1 more source
Radiation pattern reconfigurable fm antenna [PDF]
, 2019 In this work, a radiation pattern reconfigurable antenna design using compact printed spiral monopoles that operates at 102 MHz is reported. The proposed antenna changes its radiation behaviour that responds towards a desired direction with the use of ...
Balanis C.A. +16 more
core +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced 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
Particle swarm optimization with composite particles in dynamic environments [PDF]
, 2010 This article is placed here with the permission of IEEE - Copyright @ 2010 IEEEIn recent years, there has been a growing interest in the study of particle swarm optimization (PSO) in dynamic environments.
Liu, L, Wang, D, Yang, S
core +2 more sources
Research on intelligent fault identification method of coalfield based on the PSO-XGBoost algorithm
矿业科学学报In order to further improve the accuracy and efficiency of underground fault identification, an intelligent fault recognition model based on the extreme gradient boosting tree (XGBoost) machine learning algorithm was constructed for coal seam faults ...
LIN Peng +4 more
doaj +1 more source
Advanced Science, EarlyView.ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan +8 more
wiley +1 more source
Novel Artificial Human Optimization Field Algorithms - The Beginning
, 2019 New Artificial Human Optimization (AHO) Field Algorithms can be created from scratch or by adding the concept of Artificial Humans into other existing Optimization Algorithms.
Gajawada, Satish, Mustafa, Hassan
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Advanced Science, EarlyView.This work demonstrates a receiver‐transmitter‐integrated metasurface that decomposes an incident wave into orthogonal components and routes them into separate channels. Inspired by a “Wheel‐of‐Fortune” mechanism, it enables independent control over the amplitude, phase, and polarization of the transmitted wave.
Tong Liu +8 more
wiley +1 more source
An Investigation into the Merger of Stochastic Diffusion Search and Particle Swarm Optimisation [PDF]
, 2011 This study reports early research aimed at applying the powerful resource allocation mechanism deployed in Stochastic Diffusion Search (SDS) to the Particle Swarm Optimiser (PSO) metaheuristic, effectively merging the two swarm intelligence algorithms ...
al-Rifaie, Mohammad Majid +2 more
core +2 more sources
Optimizing PSO for classification: comparison of Naïve Bayes and C4.5 for osteoporosis prediction
Jurnal Ilmiah SINERGIOsteoporosis is a medical disease marked by a reduction in bone density, which significantly increases the risk of fractures. Osteoporosis patients do not always exhibit symptoms and because current diagnostic techniques have limitations, early detection
Zulfi Anugerahwati, Sri Lestari
doaj +1 more source