Výsledky vyhledávání - Multilayer perceptron and its stacking integration algorithm

Computational evaluation using machine learning for analysis of membrane desalination process powered by solar energy.

Autoři: Alanazi, Muteb Alharby, Tareq Nafea

Zdroj: Scientific Reports; 10/17/2025, Vol. 15 Issue 1, p1-12, 12p

Témata: MACHINE learning, SALINE water conversion, ENSEMBLE learning, SOLAR energy, ESTIMATION theory, OPTIMIZATION algorithms, MASS transfer

Hybrid Machine Learning Model for Predicting Shear Strength of Rock Joints.

Autoři: Lei, Daxing Zhang, Yaoping Lu, Zhigang a další

Zdroj: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7097, 20p

Témata: SHEAR strength, MULTILAYER perceptrons, OPTIMIZATION algorithms, ENSEMBLE learning, ROCK deformation

A Physics-Informed Neural Network Integration Framework for Efficient Dynamic Fracture Simulation in an Explicit Algorithm.

Autoři: Wan, Mingyang Pan, Yue Zhang, Zhennan

Zdroj: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 19, p10336, 15p

Témata: MACHINE learning, NUMERICAL integration, ALGORITHMS, CRACK propagation, STRAINS & stresses (Mechanics), SYSTEM integration, MECHANICAL efficiency

A Robust Stacking-Based Ensemble Model for Predicting Cardiovascular Diseases.

Autoři: Bihri, Hayat Charaf, Lalla Amina Azzouzi, Salma a další

Zdroj: AI; Jul2025, Vol. 6 Issue 7, p160, 21p

Témata: CARDIOVASCULAR diseases, ENSEMBLE learning, SUPPORT vector machines, FORECASTING, DEEP learning, RANDOM forest algorithms, MACHINE learning

A Modular and Explainable Machine Learning Pipeline for Student Dropout Prediction in Higher Education.

Autoři: Bettahi, Abdelkarim Belouadha, Fatima-Zahra Harroud, Hamid

Zdroj: Algorithms; Oct2025, Vol. 18 Issue 10, p662, 31p

Témata: MACHINE learning, HIGHER education, ORGANIZATIONAL governance, TREND analysis, BOOSTING algorithms, SCHOOL dropouts, DATA integration, RESPONSIBILITY

Daily Reservoir Evaporation Estimation Using MLP and ANFIS: A Comparative Study for Sustainable Water Management.

Autoři: Dökmen, Funda Coşkun Dilcan, Çiğdem Ahi, Yeşim

Zdroj: Water (20734441); Sep2025, Vol. 17 Issue 17, p2623, 14p

Témata: WATER management, EVAPORATION (Meteorology), FUZZY neural networks, HYDROMETEOROLOGY, MULTILAYER perceptrons, ARTIFICIAL intelligence, WATER conservation

Machine learning-based prediction of surface roughness and machinability in heat-treated Ni–Cr–Mo low-alloy steels.

Autoři: Behera, Arun Kumar Anand, Abhinav Krishna, Ram

Zdroj: Journal of Applied Physics; 10/28/2025, Vol. 138 Issue 16, p1-15, 15p

Témata: LOW alloy steel, MACHINE learning, SURFACE roughness, NICKEL-chromium alloys, FRACTURE toughness

Development of the artificial neural network's swarm-based approaches predicting East Azerbaijan landslide susceptibility mapping.

Autoři: Sun, Yesen Dai, Hong-liang Xu, Lei a další

Zdroj: Environment, Development & Sustainability; Mar2025, Vol. 27 Issue 3, p6065-6102, 38p

Témata: METAHEURISTIC algorithms, ARTIFICIAL neural networks, OPTIMIZATION algorithms, LANDSLIDE hazard analysis, RECEIVER operating characteristic curves, LANDSLIDES, MULTILAYER perceptrons

Analysing LULC transformations using remote sensing data: insights from a multilayer perceptron neural network approach.

Autoři: Hussain, Khadim Mehmood, Kaleem Yujun, Sun a další

Zdroj: Annals of GIS; Sep2025, Vol. 31 Issue 3, p473-500, 28p

Témata: LAND use, LAND cover, ENVIRONMENTAL impact analysis, ARTIFICIAL neural networks, SUSTAINABLE development, MULTILAYER perceptrons, MACHINE learning, REMOTE sensing

A New RF-MLP Framework Using Stacking Technique for Financial Fraud Detection.

Autoři: Merdas, Hussam Mezher

Zdroj: Journal of Engineering Science & Technology Review; 2025, Vol. 18 Issue 2, p116-119, 4p

Témata: BOOSTING algorithms, FRAUD, RANDOM forest algorithms, DEEP learning, FRAUD investigation

Enhanced fish species classification using dynamic multilayer perceptron and transformer encoders with extra distribution data.

Autoři: Chen, Mei-Hsin Lai, Ting-Hsuan Chen, Yao-Chung a další

Zdroj: Multimedia Tools & Applications; Sep2025, Vol. 84 Issue 31, p37671-37700, 30p

Témata: CLASSIFICATION of fish, GEOSPATIAL data, MULTILAYER perceptrons, IMAGE recognition (Computer vision), METADATA, TRANSFORMER models

Dual-Branch Spatial–Spectral Transformer with Similarity Propagation for Hyperspectral Image Classification.

Autoři: Wen, Teng Wang, Heng Wang, Liguo

Zdroj: Remote Sensing; Jul2025, Vol. 17 Issue 14, p2386, 30p

Témata: TRANSFORMER models, MULTILAYER perceptrons, DATA reduction, REMOTE-sensing images, SIMILARITY transformations

SMamba-KAN: an advanced temporal-nonlinear model for precise water level prediction.

Autoři: Yan, Xiangrui Zhao, Huijuan Zhou, Ruyan

Zdroj: Frontiers in Water; 2025, p1-17, 17p

Témata: HYDROLOGICAL forecasting, PREDICTION models, TIME-varying systems, WATERSHEDS, MULTILAYER perceptrons, HYDROLOGICAL databases, TRANSFORMER models

Geografický termín: YANGTZE River (China), DATONG (Shanxi Sheng, China)

Enhancing multi-class lung disease classification in chest x-ray images: A hybrid manta-ray foraging volcano eruption algorithm boosted multilayer perceptron neural network approach.

Autoři: Thavasimuthu, Rajendran Hanumanthakari, Sudheer Sekar, Sridhar a další

Zdroj: Network: Computation in Neural Systems; Aug2025, Vol. 36 Issue 3, p987-1018, 32p

Assessment of Landslide Susceptibility Based on the Two-Layer Stacking Model—A Case Study of Jiacha County, China.

Autoři: Wang, Zhihan Wen, Tao Chen, Ningsheng a další

Zdroj: Remote Sensing; Apr2025, Vol. 17 Issue 7, p1177, 24p

Témata: ENSEMBLE learning, LANDSLIDE hazard analysis, EMERGENCY management, STACKING machines, SUPPORT vector machines, LANDSLIDES

Predicting Liquid Natural Gas Consumption via the Multilayer Perceptron Algorithm Using Bayesian Hyperparameter Autotuning.

Autoři: Lee, Hyungah Cho, Woojin Park, Jong-hyeok a další

Zdroj: Energies (19961073); May2024, Vol. 17 Issue 10, p2290, 16p

Témata: NATURAL gas consumption, LIQUEFIED natural gas, NATURAL gas, GREENHOUSE gases, ENERGY consumption, FOOD processing plants, ALGORITHMS

Cycle based state of health estimation of lithium ion cells using deep learning architectures.

Autoři: Bairwa, Bansilal Pareek, Kapil Jadoun, Vinay Kumar

Zdroj: Scientific Reports; 10/23/2025, Vol. 15 Issue 1, p1-22, 22p

Témata: LITHIUM-ion batteries, DEEP learning, BATTERY management systems, MULTILAYER perceptrons, LONG short-term memory, RECURRENT neural networks

DGGCCM: a hybrid neural model for legal event detection.

Autoři: Gong, Shutao Luo, Xudong

Zdroj: Artificial Intelligence & Law; Dec2025, Vol. 33 Issue 4, p1109-1149, 41p

Témata: ARTIFICIAL neural networks, MULTILAYER perceptrons, GRAPH neural networks, LANGUAGE models, MACHINE learning

Machine learning-based defect prediction model using multilayer perceptron algorithm for escalating the reliability of the software.

Autoři: Juneja, Sapna Nauman, Ali Uppal, Mudita a další

Zdroj: Journal of Supercomputing; May2024, Vol. 80 Issue 7, p10122-10147, 26p

Témata: SOFTWARE reliability, SOFTWARE engineering, COMPUTER software quality control, PREDICTION models, COMPUTER software testing, SYSTEM failures

Real-time soil fertility analysis, crop prediction, and insights using machine learning and deep learning algorithms.

Autoři: Gunasekaran, Kanimozhi A., Karmel Sreevardhan, Pemmareddy

Zdroj: Frontiers in Soil Science; 2025, p1-27, 27p

Témata: SOIL fertility, MACHINE learning, SUSTAINABLE agriculture, DEEP learning, PREDICTION models, REAL-time computing, AGRICULTURAL statistics, AGRICULTURAL forecasts