Výsledky vyhledávání - modified back propagation algorithm-based ANN~

Hybrid Deep Neural Network-Based Generation Rescheduling for Congestion Mitigation in Spot Power Market

Autoři: Anjali Agrawal Seema N. Pandey Laxmi Srivastava a další

Zdroj: IEEE Access, Vol 10, Pp 29267-29276 (2022)

Témata: congestion management, generation rescheduling, Bilateral/multilateral transactions, deep neural network, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, modified back propagation algorithm-based ANN, TK1-9971

Přístupová URL adresa: https://doaj.org/article/20ef537c123f4827ae4f1d78e4eae40f

Performance of Artificial Neural Networks Model under Various Structures and Algorithms to Prediction of Fat Tail Weight in Fat Tailed Breeds and Their Thin Tailed Crosses.

Autoři: Nobari, K. Sharifi, S. D. Kashan, N. Emam Jomea a další

Zdroj: Iranian Journal of Applied Animal Science. Dec2021, Vol. 11 Issue 4, p761-769. 9p.

Témata: Artificial neural networks, Back propagation, Algorithms, Fat

A new product development study using intelligent data analysis algorithm based on KE theory.

Autoři: Yueen Li Qi Feng Tao Huang a další

Zdroj: Journal of Intelligent & Fuzzy Systems. 2022, Vol. 43 Issue 6, p7041-7055. 15p.

Témata: *NEW product development, *ELECTRIC welding, *DATA analysis, *BACK propagation, *SMALL business, *ARTIFICIAL neural networks, *QUALITY function deployment

An Enhanced Feed-Forward Back Propagation Levenberg–Marquardt Algorithm for Suspended Sediment Yield Modeling.

Autoři: Yadav, Arvind Chithaluru, Premkumar Singh, Aman a další

Zdroj: Water (20734441); Nov2022, Vol. 14 Issue 22, p3714, 23p

Témata: SUSPENDED sediments, BACK propagation, RAINFALL, ALGORITHMS, ARTIFICIAL intelligence, WATERSHEDS

Geografický termín: INDIA

Reference Crop Evapotranspiration Prediction Based on Gated Recurrent Unit with Quantum Inspired Multi-head Self-attention Mechanism.

Autoři: Gao, Zehai Yang, Dongzhe Li, Baojun a další

Zdroj: Water Resources Management; Feb2025, Vol. 39 Issue 3, p1481-1501, 21p

Témata: SATURATION vapor pressure, IRRIGATION scheduling, BACK propagation, VAPOR pressure, WATER pressure

Modeling stock market using new hybrid intelligent method based on MFNN and IBHA.

Autoři: Gao, Wei

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Aug2022, Vol. 26 Issue 15, p7317-7337, 21p

Témata: STOCK exchanges, BACK propagation, DYNAMICAL systems, BLACK holes, METAHEURISTIC algorithms, SYSTEM dynamics

Geografický termín: SHANGHAI (China), CHINA

Scaling an Artificial Neural Network-Based Water Quality Index Model from Small to Large Catchments.

Autoři: Aalipour, Mehdi Šťastný, Bohumil Horký, Filip a další

Zdroj: Water (20734441); Mar2022, Vol. 14 Issue 6, p920-920, 17p

Témata: WATER quality, ARTIFICIAL neural networks, BACK propagation, AKAIKE information criterion, WATER quality monitoring, MODELS & modelmaking

Prediction of Soil Water Content Based on Hyperspectral Reflectance Combined with Competitive Adaptive Reweighted Sampling and Random Frog Feature Extraction and the Back-Propagation Artificial Neural Network Method.

Autoři: Chen, Shaomin Lou, Fangchuan Tuo, Yunfei a další

Zdroj: Water (20734441); Aug2023, Vol. 15 Issue 15, p2726, 19p

Témata: SOIL moisture, STATISTICAL sampling, REFLECTANCE, MACHINE learning, FEATURE extraction, BACK propagation, SUPPORT vector machines

A Novel Approach by Integrating CT‐Based Imaging Data and Machine Learning to Predict Patient‐Specific Young's Modulus Values.

Autoři: S. L., Resmi V., Hashim Mohammed, Jesna a další

Zdroj: Advances in Orthopedics; 8/14/2025, p1-13, 13p

Témata: YOUNG'S modulus, MACHINE learning, ARTIFICIAL implants, COMPUTED tomography, FINITE element method, BIOMECHANICS, ARTIFICIAL neural networks, ORTHOPEDICS

An Optimized XGBoost Model for Predicting Tunneling-Induced Ground Settlement.

Autoři: Geng, Xiaojie Wu, Shunchuan Yan, Qiong a další

Zdroj: Geotechnical & Geological Engineering; Mar2024, Vol. 42 Issue 2, p1297-1311, 15p

Témata: TUNNELS, BACK propagation, OPTIMIZATION algorithms, STANDARD deviations, SUBWAY tunnels, ARTIFICIAL neural networks, MACHINE performance, PARTICLE swarm optimization

Combined Physical Process and Deep Learning for Daily Water Level Simulations across Multiple Sites in the Three Gorges Reservoir, China.

Autoři: Xie, Mingjiang Shan, Kun Zeng, Sidong a další

Zdroj: Water (20734441); Sep2023, Vol. 15 Issue 18, p3191, 16p

Témata: DEEP learning, WATER levels, GORGES, BACK propagation, FLOOD control, MACHINE learning

Geografický termín: CHINA

Application of some artificial intelligence optimization methods to determine the freshness of eggs.

Autoři: ŞAHİN, Hasan Alp ÖNDER, Hasan

Zdroj: Turkish Journal of Veterinary & Animal Sciences. 2024, Vol. 48 Issue 3, p156-164. 9p.

Témata: Artificial intelligence, Digital image processing, Artificial neural networks, Object recognition (Computer vision), Particle swarm optimization, Image compression

Brain tumour detection in magnetic resonance imaging using Levenberg–Marquardt backpropagation neural network.

Autoři: Ghahramani, Marzieh Shiri, Nabiollah

Zdroj: IET Image Processing (Wiley-Blackwell); Jan2023, Vol. 17 Issue 1, p88-103, 16p

Témata: MAGNETIC resonance imaging, BRAIN tumors, FEATURE extraction, BACK propagation, DIAGNOSTIC imaging

A Modified Back Propagation Artificial Neural Network Model Based on Genetic Algorithm to Predict the Flow Behavior of 5754 Aluminum Alloy.

Autoři: Huang, Changqing Jia, Xiaodong Zhang, Zhiwu

Zdroj: Materials (1996-1944); May2018, Vol. 11 Issue 5, p855, 1p, 1 Color Photograph, 4 Diagrams, 4 Charts, 9 Graphs

Témata: ARTIFICIAL neural networks, GENETIC algorithms, ALUMINUM alloys, STRAINS & stresses (Mechanics), FLUID dynamics

Genetic Algorithm Based Potential Selection in Simultaneous Voltammetric Determination of Isoniazid and Hydrazine by Using Partial Least Squares (PLS) and Artificial Neural Networks (ANNs)

Autoři: Abolghasem Jouyban Karim Asadpour-Zeynali Mir Reza Majidi

Zdroj: Electroanalysis. 17:915-918

Témata: 01 natural sciences, 0104 chemical sciences

Přístupová URL adresa: https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/abs/10.1002/elan.200403204

MACHINE LEARNING COMPUTATIONS FOR MHD BIOCONVECTION PERISTALTIC TRANSPORT OF NON-NEWTONIAN NANOFLUID FLOW CONTAINING GYROTACTIC MICROORGANISMS WITH POROUS MEDIUM

Autoři: Jamshaid Iqbal F. M. Abbasi M. M. Alam

Zdroj: Journal of Porous Media. 28:1-28

Deriving Hedging Rules of Multi-Reservoir System by Online Evolving Neural Networks.

Autoři: Dariane, Alireza Karami, Farzane

Zdroj: Water Resources Management; Sep2014, Vol. 28 Issue 11, p3651-3665, 15p

Témata: ARTIFICIAL neural networks, PROGRAM transformation, WATER supply, STRUCTURAL optimization, BACK propagation, PARSIMONIOUS models

ABSTRACTS OF THE EUROPEAN VETERINARY DIAGNOSTIC IMAGING (EVDI) CONGRESS, EDINBURGH, UNITED KINGDOM, SEPTEMBER 14–SEPTEMBER 17, 2022.

Zdroj: Veterinary Radiology & Ultrasound. Nov2023, Vol. 64 Issue 6, p1155-1200. 46p.

Performance Comparison of Feed-Forward Neural Networks Trained with Different Learning Algorithms for Recommender Systems.

Autoři: Hassan, Mohammed Hamada, Mohamed

Zdroj: Computation; 2017, Vol. 5 Issue 3, p40, 18p

Témata: FEEDFORWARD neural networks, BACK propagation, MACHINE learning, ALGORITHMS, MATHEMATICAL optimization

Long-term precipitation prediction in different climate divisions of California using remotely sensed data and machine learning.

Autoři: Majnooni, Shabnam Nikoo, Mohammad Reza Nematollahi, Banafsheh a další

Zdroj: Hydrological Sciences Journal/Journal des Sciences Hydrologiques; 2023, Vol. 68 Issue 14, p1984-2008, 25p

Témata: MULTILAYER perceptrons, MACHINE learning, SUPPORT vector machines, STATISTICAL correlation, FORECASTING, RANDOM forest algorithms, WATER supply

Geografický termín: CALIFORNIA