Search Results - "lm backpropagation algorithm"

Forecasting of energy consumption rate and battery stress under real-world traffic conditions using ANN model with different learning algorithms

Authors: Anbazhagan Geetha S. Usha J. Santhakumar et al.

Source: AIMS Energy, Vol 13, Iss 1, Pp 125-146 (2025)

Subject Terms: learning algorithm, TK1001-1841, lm backpropagation algorithm, Production of electric energy or power. Powerplants. Central stations, energy management control strategies, TJ807-830, hybrid electric vehicle, artificial neural network, Renewable energy sources

Access URL: https://doaj.org/article/6624c01df30b4d2aa5e96e954e038f10

MODELING OF MICROWAVE-ASSISTED EXTRACTION OF LYCOPENE FROM TOMATO PEELS.

Authors: KUVENDZIEV, STEFAN STOJCHEVSKI, MARTIN ANDREEVSKA, MARTINA et al.

Source: Quality of Life: A Multi-Disciplinary Journal of Food Science, Environmental Science & Public Health; feb2024, Vol. 15 Issue 1/2, p29-37, 9p

Subject Terms: LYCOPENE, TOMATOES, BIOACTIVE compounds, ARTIFICIAL neural networks, RESPONSE surfaces (Statistics)

Taguchi and ANN approaches for predicting the FSW parameters to analyse the mechanical properties.

Authors: Manickam, Selvaraj Kavitha, N. Rao, N. Srinivasa et al.

Source: Hyperfine Interactions; Dec2024, Vol. 245 Issue 1, p1-12, 12p

Subject Terms: FRICTION stir welding, TENSILE strength, MATHEMATICAL analysis, WELDING, HARDNESS

Predicting hospital admissions for upper respiratory tract complaints: An artificial neural network approach integrating air pollution and meteorological factors.

Authors: Mutlu, Atilla Aydın Keskin, Gülşen Çıldır, İhsan

Source: Environmental Monitoring & Assessment; Aug2024, Vol. 196 Issue 8, p1-23, 23p

Subject Terms: ARTIFICIAL neural networks, RESPIRATORY infections, AIR pollutants, RESPIRATORY diseases, DEMOGRAPHIC characteristics, AIR pollution

Simulation and accurate prediction of unsteady nonlinear convection flow by artificial neural network using numerical data.

Authors: Mehmood, Sabba Rehman, Sajjad Ur

Source: Physics of Fluids. Apr2025, Vol. 37 Issue 4, p1-16. 16p.

Subject Terms: *ARTIFICIAL neural networks, *GEOPHYSICAL fluid dynamics, *NUSSELT number, *MASS transfer, *BUOYANCY-driven flow

The Determination of Buried Magnetic Material From Various Heights: A Neural Network Application.

Authors: Citak, Hakan Ege, Yavuz Bicakci, Sabri et al.

Source: IEEE Transactions on Instrumentation & Measurement; Jul2020, Vol. 69 Issue 7, p4188-4199, 12p

Subject Terms: MAGNETIC materials, GEOMAGNETISM, FEEDFORWARD neural networks, SYSTEMS software, MAGNETIC measurements, SCANNING systems, MOISTURE content of food, MAGNETIC particles

Power quality enhancement in grid-tied photovoltaic systems through artificial neural network-based current control strategies.

Authors: Abu-Zaher, Mustafa Shen, Ke Aly, Mokhtar et al.

Source: International Journal of Electrical Power & Energy Systems. Nov2025, Vol. 172, pN.PAG-N.PAG. 1p.

Subject Terms: *PHOTOVOLTAIC power systems, *ARTIFICIAL neural networks, *POWER supply quality, *INTERCONNECTED power systems, *MARQUARDT algorithm, *SMART power grids

Electricity demand and renewable energy forecasting-single and hybrid predictive algorithms.

Authors: Hussain, Farhan Hasanuzzaman, M. Abd Rahim, Nasrudin

Source: IOP Conference Series: Earth & Environmental Science; 2025, Vol. 1560 Issue 1, p1-15, 15p

Developing an Artificial Neural Network Algorithm Optimized for Accurate Output prediction of a Multi-step Solar Desalination System and Exergy Analysis.

Authors: Alsagri, Ali Sulaiman Alrobaian, Abdulrahman A.

Source: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Nov2025, Vol. 50 Issue 22, p18515-18534, 20p

Subject Terms: ARTIFICIAL neural networks, PREDICTION models, EXERGY, GLOBAL warming, COMPUTER performance, SALINE water conversion, RENEWABLE water

Machine learning-assisted thermal analysis of propylene glycol nanofluid with dual flux and bioconvection over a Riga plate.

Authors: Aslam, Muhammad Nauman Ali, Asif Junaid, Muhammad Sheraz et al.

Source: Scientific Reports; 10/9/2025, Vol. 15 Issue 1, p1-35, 35p

Subject Terms: HEAT transfer, NANOFLUIDS, MATHEMATICAL models, PROPYLENE glycols, MACHINE learning, THERMAL analysis, NATURAL heat convection

Experimental and modeling studies on mixing behavior of binary mixtures in a spout-fluid bed.

Authors: Kumar Bashapaka, Sujan Vinod Ananthula, Venu

Source: Particulate Science & Technology; 2019, Vol. 37 Issue 4, p387-398, 12p

Subject Terms: FLUIDIZED bed reactors, BINARY mixtures, GAS mixtures, ARTIFICIAL neural networks, GLASS beads

Prediction of Maximum Scour Around Circular Bridge Piers Using Semi-Empirical and Machine Learning Models.

Authors: Nandi, Buddhadev Das, Subhasish

Source: Water (20734441); Sep2025, Vol. 17 Issue 17, p2610, 30p

Subject Terms: BRIDGE foundations & piers, MACHINE learning, ARTIFICIAL neural networks, STRUCTURAL reliability, EMPIRICAL research, HYDRAULIC measurements, PREDICTIVE validity

Development and Validation of ANN Models for Water Absorption in Sawdust and Kenaf Fiber‐Reinforced Polystyrene Composites.

Authors: Solairaju, Jothi Arunachalam Rathinasamy, Saravanan Thanikodi, Sathish et al.

Source: Engineering Reports; Sep2025, Vol. 7 Issue 9, p1-8, 8p

Subject Terms: ARTIFICIAL neural networks, POLYSTYRENE, WOOD waste, KENAF, STATISTICAL significance, MODEL validation, FIBROUS composites

Comparative optimization of alizarin red S adsorption on hyper-cross-linked resin using response surface methodology and artificial neural network techniques.

Authors: Firmansyah, Mochamad Lutfi Ashraf, Muhammad Khan, Sardaraz et al.

Source: New Journal of Chemistry; 8/21/2025, Vol. 49 Issue 31, p13416-13428, 13p

Subject Terms: RESPONSE surfaces (Statistics), ARTIFICIAL neural networks, ORGANIC dyes, ECOLOGICAL impact, PHYSISORPTION, CROSSLINKED polymers, CHEMICAL kinetics

Artificial Neural Network–Based Modeling and Prediction of GNSS Ionospheric Errors in Egypt.

Authors: Abdelmaaboud, A. Fathallah, T. Ragheb, A. et al.

Source: Journal of Surveying Engineering; Aug2025, Vol. 151 Issue 3, p1-10, 10p

SPRINGBACK PREDICTION OF SHEET METAL HYDROFORMING USING FINITE ELEMENT ANALYSIS AND ARTIFICIAL NEURAL NETWORKS.

Authors: Fartouh, Y. Bouzaffour, M. Nassraoui, M.

Source: International Journal of Applied Mechanics & Engineering; 2025, Vol. 30 Issue 3, p42-56, 15p

Artificial neural network modeling of photocatalytic degradation of pollutants: a review of photocatalyst, optimum parameters and model topology.

Authors: Das, Susmita Moon, Snehal Kaur, Ramanpreet et al.

Source: Catalysis Reviews: Science & Engineering; 2025, Vol. 67 Issue 3, p544-578, 35p

Subject Terms: ARTIFICIAL neural networks, WASTEWATER treatment, PHOTODEGRADATION, PHOTOCATALYTIC oxidation, POLLUTANTS, TEXTILE waste, CATALYSTS, STATISTICAL models

A comparative study between LSSVM, LSTM, and ANN in predicting the unconfined compressive strength of virgin fine-grained soil.

Authors: Khatti, Jitendra Grover, Kamaldeep Singh Samui, Pijush

Source: Frontiers in Built Environment; 2025, p1-22, 22p

Subject Terms: ARTIFICIAL neural networks, LONG short-term memory, STANDARD deviations, SUPPORT vector machines, SPECIFIC gravity

Predicting Micropile Group Capacity in Soft Cohesive Soil by Artificial Neural Network.

Authors: Borthakur, Nirmali Das, Manita

Source: Indian Geotechnical Journal; Jun2025, Vol. 55 Issue 3, p1844-1862, 19p

Single-Step Drilling Using Novel Modified Drill Bits Under Dry, Water, and Kerosene Conditions and Optimization of Process Parameters via MOGA-ANN and RSM.

Authors: Paul, Sumitava Haldar, Barun Joardar, Hillol et al.

Source: Lubricants (2075-4442); Jun2025, Vol. 13 Issue 6, p273, 21p

Subject Terms: SURFACE finishing, MULTI-objective optimization, SURFACE roughness, DEBURRING, BITS (Drilling & boring)