Search Results - Backpropagation GDX algorithm

Determining Point of Economic Cattle Milk Production through Machine Learning and Evolutionary Algorithm for Enhancing Food Security.

Authors: Bhardwaj, Sonam Tarafdar, Ayon Baghel, Manoj et al.

Source: Journal of Food Quality. 2/2/2023, p1-9. 9p.

Subject Terms: *ARTIFICIAL neural networks, MILK yield, MACHINE learning, EVOLUTIONARY algorithms, FOOD security, GENETIC algorithms, CATTLE crossbreeding

Geographic Terms: INDIA

Using artificial neural network approach for simultaneous forecasting of weekly groundwater levels at multiple sites ; Not Available

Authors: Mohanty, S. Jha, M.K. Raul, S.K. et al.

Subject Terms: Groundwater-level forecasting . Neural network modeling . Backpropagation GDX algorithm . Alluvial aquifer system, geo, envir

Relation: http://krishi.icar.gov.in/jspui/handle/123456789/13232

Availability: http://krishi.icar.gov.in/jspui/handle/123456789/13232

Artificial Neural Network Modeling for Groundwater Level Forecasting in a River Island of Eastern India ; Not Available

Authors: Sheelabhadra Mohanty Madan K. Jha Ashwani Kumar et al.

Subject Terms: Artificial neural network, Groundwater level prediction, Backpropagation GDX algorithm, Lavenberg-Marquardt algorithm, Bayesian regularization algorithm, River island

Relation: Not Available; http://krishi.icar.gov.in/jspui/handle/123456789/6340

Availability: http://krishi.icar.gov.in/jspui/handle/123456789/6340

Artificial Neural Network Modeling for Groundwater Level Forecasting in a River Island of Eastern India.

Authors: Mohanty, Sheelabhadra Jha, Madan Kumar, Ashwani et al.

Source: Water Resources Management; Jul2010, Vol. 24 Issue 9, p1845-1865, 21p

Subject Terms: ARTIFICIAL neural networks, GROUNDWATER research, ITERATIVE methods (Mathematics), BAYESIAN analysis, PREDICTION models

Geographic Terms: INDIA

Novel Maximum-Margin Training Algorithms for Supervised Neural Networks.

Authors: Ludwig, Oswaldo Nunes, Urbano

Source: IEEE Transactions on Neural Networks. Jun2010, Vol. 21 Issue 6, p972-984. 13p.

Subject Terms: *ARTIFICIAL neural networks, *ALGORITHMS, *INFORMATION theory, EVOLUTIONARY computation, PATTERN recognition systems, PATTERN perception, SUPERVISED learning

Smart solutions for dissolved oxygen control in semi-batch fermenters: A machine learning approach

Authors: J. Sumathi P. Aravind G. Gandhimathi

Source: Desalination and Water Treatment, Vol 317, Iss , Pp 100004- (2024)

Subject Terms: Artificial neural network, Machine learning algorithms, Dissolved oxygen, Paper industry effluent, Regression analysis, Dissolved oxygen parameter, Environmental technology. Sanitary engineering, TD1-1066, Ecology, QH540-549.5

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1944398624000043; https://doaj.org/toc/1944-3986

Access URL: https://doaj.org/article/8c752d253fcc4da499cc330700f9646e

New model for prediction binary mixture of antihistamine decongestant using artificial neural networks and least squares support vector machine by spectrophotometry method.

Authors: Mofavvaz, Shirin Sohrabi, Mahmoud Reza Nezamzadeh-Ejhieh, Alireza

Source: Spectrochimica Acta Part A: Molecular & Biomolecular Spectroscopy. Jul2017, Vol. 182, p105-115. 11p.

Subject Terms: *BRADFORD protein assay, *LEAST squares, *REGRESSION analysis, *STANDARD deviations, *ARITHMETIC mean

Evaluation of image feature extraction using gray level co-occurrence matrix (GLCM) parameters and multilayer perceptron (MLP) algorithms in classifying typical batik motifs of South Sulawesi.

Authors: Hamzidah, Nurul Khaerani Jariyah, Ainun Ramadhani, Annisa Resky et al.

Source: AIP Conference Proceedings. 2024, Vol. 3140 Issue 1, p1-8. 8p.

Subject Terms: *BATIK, *IMAGE recognition (Computer vision), *CONTENT-based image retrieval, *DATA extraction, *ALGORITHMS, *FEATURE extraction

Speed and accuracy investigations of neural network algorithms for ionospheric modelling at an equatorial region.

Authors: Abubakar, Sani Okoh, Daniel Tijjani, Bello Idris et al.

Source: Journal of Atmospheric & Solar-Terrestrial Physics. Dec2024, Vol. 265, pN.PAG-N.PAG. 1p.

Subject Terms: *ARTIFICIAL neural networks, *IONOSPHERIC electron density, *MARQUARDT algorithm, *ELECTRON density, *RADIO measurements

Using Artificial Neural Network Approach for Simultaneous Forecasting of Weekly Groundwater Levels at Multiple Sites.

Authors: Mohanty, S. Jha, Madan Raul, S. et al.

Source: Water Resources Management; Dec2015, Vol. 29 Issue 15, p5521-5532, 12p

Subject Terms: GROUNDWATER, ARTIFICIAL neural networks, HYDROGEOLOGY, ENVIRONMENTAL physics, WATER supply

Evaluating Three Supervised Machine Learning Algorithms (LM, BR, and SCG) for Daily Pan Evaporation Estimation in a Semi-Arid Region.

Authors: Aghelpour, Pouya Bagheri-Khalili, Zahra Varshavian, Vahid et al.

Source: Water (20734441); Nov2022, Vol. 14 Issue 21, p3435, 23p

Subject Terms: SUPERVISED learning, MACHINE learning, ARID regions, WATER management, STANDARD deviations, HUMIDITY

Geographic Terms: IRAN

Developing a hybrid model for accurate short-term water demand prediction under extreme weather conditions: a case study in Melbourne, Australia.

Authors: Zubaidi, Salah L. Kumar, Pavitra Al-Bugharbee, Hussein et al.

Source: Applied Water Science; Sep2023, Vol. 13 Issue 9, p1-10, 10p

Subject Terms: EXTREME weather, MACHINE learning, STORMS, DISCRETE wavelet transforms, HUMIDITY

Geographic Terms: MELBOURNE (Vic.)

Predictive Modeling of Signal Degradation in Urban VANETs Using Artificial Neural Networks.

Authors: Muktar, Bappa Fono, Vincent Zongo, Meyo

Source: Electronics (2079-9292); Sep2023, Vol. 12 Issue 18, p3928, 18p

Subject Terms: MACHINE learning, PREDICTION models, BIT error rate, EMERGENCY vehicles, STANDARD deviations, ARTIFICIAL neural networks, SUPERVISED learning

Optimization Of Drying Kinetics, Physical Properties, And Predictive Modeling of Pumpkin (Cucurbita Maxima) Powder: A Comparative Analysis of Mathematical and Ann Approaches.

Authors: R., Sinthiya Jerald, A. Lovelin Loganathan, Veerapandi

Source: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 4, p5454-5466, 13p

Subject Terms: ARTIFICIAL neural networks, VALUATION of real property, FUNCTIONAL foods, MATHEMATICAL models, PREDICTION models

Monthly evaporation forecasting using artificial neural networks and support vector machines.

Authors: Tezel, Gulay Buyukyildiz, Meral

Source: Theoretical & Applied Climatology; Apr2016, Vol. 124 Issue 1-2, p69-80, 12p, 1 Diagram, 5 Charts, 3 Graphs

Subject Terms: EVAPORATION (Meteorology), SUPPORT vector machines, ARTIFICIAL neural networks, WEATHER forecasting, RADIAL basis functions, MULTILAYER perceptrons

Hybrid machine learning models for groundwater level prediction in a snow‐dominated region: An evaluation of EEMD, VMD and EWT decomposition techniques.

Authors: Gezici, Kadir Katipoğlu, Okan Mert Şengül, Selim

Source: Hydrological Processes; May2024, Vol. 38 Issue 5, p1-20, 20p

Subject Terms: MACHINE learning, WATER table, HILBERT-Huang transform, WATER levels, WAVELET transforms, WATER supply, WATER shortages

Geographic Terms: TURKEY

Artificial Neural Network with a Cross-Validation Technique to Predict the Material Design of Eco-Friendly Engineered Geopolymer Composites.

Authors: Kuppusamy, Yaswanth Jayaseelan, Revathy Pandulu, Gajalakshmi et al.

Source: Materials (1996-1944); May2022, Vol. 15 Issue 10, p3443-3443, 20p

Subject Terms: ENGINEERING design, ARTIFICIAL neural networks, SYNTHETIC fibers, ARTIFICIAL intelligence, NATURAL fibers, REGRESSION analysis

Neural Networks for Real Time Catchment Flow Modeling and Prediction.

Authors: Aqil, Muhammad Kita, Ichiro Yano, Akira et al.

Source: Water Resources Management; Oct2007, Vol. 21 Issue 10, p1781-1796, 16p, 2 Charts, 4 Graphs, 1 Map

Subject Terms: ARTIFICIAL neural networks, ARTIFICIAL intelligence, COMPUTER architecture, SYSTEMS development, COMPUTER input-output equipment, COMPUTER systems, ELECTRONIC data processing, INFORMATION technology, BAYESIAN analysis

Artificial Neural Network (ANN) Modelling for Biogas Production in Pre-Commercialized Integrated Anaerobic-Aerobic Bioreactors (IAAB).

Authors: Chen, Wei-Yao Chan, Yi Jing Lim, Jun Wei et al.

Source: Water (20734441); May2022, Vol. 14 Issue 9, p1410-1410, 36p

Subject Terms: BIOGAS production, ARTIFICIAL neural networks, BIOGAS, BIOCHEMICAL oxygen demand, ANAEROBIC digestion, DECISION support systems, BIOREACTORS

Geographic Terms: NEGERI Sembilan, MALAYSIA

Assessing machine learning models for streamflow estimation: a case study in Oued Sebaou watershed (Northern Algeria).

Authors: Abda, Zaki Zerouali, Bilel Chettih, Mohamed et al.

Source: Hydrological Sciences Journal/Journal des Sciences Hydrologiques; Jul2022, Vol. 67 Issue 9, p1328-1341, 14p

Subject Terms: MACHINE learning, STREAMFLOW, ARTIFICIAL neural networks, RUNOFF models, WATERSHEDS, STANDARD deviations

Geographic Terms: ALGERIA