Results 121 to 130 of about 73,502 (293)

PARTICLE SWARM OPTIMIZATION SEBAGAI PENENTU NILAI BOBOT PADA ARTIFICIAL NEURAL NETWORK BERBASIS BACKPROPAGATION UNTUK PREDIKSI TINGKAT PENJUALAN MINYAK PELUMAS PERTAMINA

open access: yesJurnal Ilmiah Informatika, 2018
The lubricating oil industry is one part of the oil and gas sector which is still one of the main pillars of economic growth in Indonesia. Sales predictions are needed by companies and policy makers as planning materials and economic development ...
Muhammad Ali Ridla
doaj  

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

open access: yesPolymer Composites, EarlyView.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci   +2 more
wiley   +1 more source

PSO-Tuned PID controller of a gantry crane system [PDF]

open access: yes, 2013
This project presents development of an optimal PID controller for controlling the nonlinear gantry crane system. The tuning method of Particle Swarm Optimization (PSO) with priority based fitness and linear weight summation approaches are implemented ...
Jaafar, Hazriq Izzuan
core  

Improved PSO With Visit Table and Multiple Direction Search Strategies for Skin Cancer Image Segmentation [PDF]

open access: yes
Automated screening is employed to assist skin specialists in accurately detecting skin lesions at an early stage. Multilevel thresholding is a widely popular and efficient technique for enhancing the classification of skin cancer images.
Koca, Gonca Ozmen   +4 more
core   +1 more source

Rheological Characterization and Multi‐Regime Viscosity Modeling of Diluted Polyethylene Mixtures

open access: yesPolymer Engineering &Science, EarlyView.
This study maps the flow behavior of low‐density polyethylene in a recycling solvent from dilute solutions to entangled melts. By integrating time–concentration and time–temperature superposition, and coupling three complementary rheometry methods, a unified semiempirical model accurately predicts steady‐shear viscosity over nine decades of viscosity ...
Johannes Krug   +7 more
wiley   +1 more source

Optimasi K-Means Dengan Particle Swarm Optimization (PSO) Dalam Penentuan Titik Awal Pusat Klaster Data Telekomunikasi

open access: yesTechno.Com
Berkembangnya kebutuhan masyarakat terhadap layanan telekomunikasi telah mengakibatkan persaingan yang semakin sengit di antara perusahaan-perusahaan di industri tersebut. Oleh karena itu, perusahaan-perusahaan ini dituntut untuk mencari strategi promosi
Raden Gesit Prasasti Alam, Yan Everhard
doaj   +1 more source

Simple and Adaptive Particle Swarms

open access: yes
The substantial advances that have been made to both the theoretical and practical aspects of particle swarm optimization over the past 10 years have taken it far beyond its original intent as a biological swarm simulation.
Bratton, Daniel
core  

RFID networks planning using BF-PSO

open access: yes, 2012
RFID network planning (RNP) problem is a core challenge in the widespread application of RFID networks. In this paper, we develop a new mathematical model for planning RFID networks with multiple objectives, including carbon emissions, economic ...
Niu B(牛奔)   +3 more
core  

Photonic nanovoids for tailored optoelectronic response in silicon solar cells

open access: yesResponsive Materials, EarlyView.
Optoelectronic workflow followed by experimental validation, demonstrating state‐of‐the‐art efficiency gains. Abstract As crystalline silicon (c‐Si) solar cells become thinner to reduce cost and weight, the optical design principles that govern light trapping (LT) must evolve.
Ivan M. Santos   +12 more
wiley   +1 more source

Research on landslide deformation rate prediction method based on dynamic serial PSO-BiLSTM

open access: yesZhongguo dizhi zaihai yu fangzhi xuebao
This paper proposed a method for predicting landslide deformation rates using a dynamic serial PSO-BiLSTM approach, aiming to overcome the limitation such as insufficient accuracy and low computational efficiency found in existing methods. Initially, the
Yufeng TANG, Liqiu HE, Rui CAO
doaj   +1 more source

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