Search Results - Backpropagation GDX algorithm

Using Artificial Neural Network Approach for Simultaneous Forecasting of Weekly Groundwater Levels at Multiple Sites by Mohanty, S., Jha, Madan K., Raul, S. K., Panda, R. K., Sudheer, K. P.

“… Gradient descent with momentum and adaptive learning rate backpropagation (GDX) algorithm was employed to predict groundwater levels 1…”
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New model for prediction binary mixture of antihistamine decongestant using artificial neural networks and least squares support vector machine by spectrophotometry method by Mofavvaz, Shirin, Sohrabi, Mahmoud Reza, Nezamzadeh-Ejhieh, Alireza

“…) and gradient descent with momentum and adaptive learning rate back-propagation (GDX) algorithm, were employed and their performance was evaluated…”
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Artificial Neural Network Modeling for Groundwater Level Forecasting in a River Island of Eastern India by Mohanty, Sheelabhadra, Jha, Madan K, Kumar, Ashwani, Sudheer, K. P

“… and 18 output nodes. Three different ANN training algorithms, viz., gradient descent with momentum and adaptive learning rate backpropagation (GDX…”
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The application of artificial intelligence system and regression methods based on the spectrophotometric method for fast simultaneous determination of naphazoline and antazoline in ophthalmic formulation by Shahrokhi, Zeinab, Sohrabi, Mahmoud Reza, Nik, Saeed Mortazavi

“… (SCG), and gradient descent with momentum and adaptive learning rate backpropagation (GDX…”
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Monthly evaporation forecasting using artificial neural networks and support vector machines by Tezel, Gulay, Buyukyildiz, Meral

“…Evaporation is one of the most important components of the hydrological cycle, but is relatively difficult to estimate, due to its complexity, as it can be…”
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Determining Point of Economic Cattle Milk Production through Machine Learning and Evolutionary Algorithm for Enhancing Food Security by Bhardwaj, Sonam, Tarafdar, Ayon, Baghel, Manoj, Dutt, Triveni, Gaur, Gyanendra Kumar

“… (BR), and gradient descent momentum with adaptive learning rate backpropagation (GDX) were used to train the ANN infrastructure for determining milk production and investment based on body weight and AFC as input variables…”
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Development of a chemometric-assisted spectrophotometric method for quantitative simultaneous determination of Amlodipine and Valsartan in commercial tablet by Darbandi, Atiyeh, Sohrabi, Mahmoud Reza, Bahmaei, Manouchehr

“…–Marquardt (LM) and gradient descent with momentum and adaptive learning rate backpropagation (GDX) was applied…”
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Classification of Cervical Precancerous Cells Using Gabor Filter and Haar Wavelet Features Based on Neural Networks by Jusman, Yessi, Resky Pahlevi, Nanda, Intan Rahmawati, Maryza, Aila Mat Zin, Anani, Hussain, Faezahtul Arbaeyah, Winiarti, Sri

“…) trained with One Step Secant (OSS) and Gradient Descent with Momentum and Adaptive Learning Rate Backpropagation (GDX) algorithms…”
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Novel Maximum-Margin Training Algorithms for Supervised Neural Networks by Ludwig, Oswaldo, Nunes, Urbano

“… Both backpropagation methods are based on the maximal-margin (MM) principle. The first one, based on the gradient descent with adaptive learning rate algorithm (GDX…”
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A Proposed Deep Learning based Framework for Arabic Text Classification by Sayed, Mostafa, Abdelkader, Hatem, Khedr, Ayman E., Salem, Rashed

“… for the enhancements of the proposed method on different deep learning algorithms such as Scaled Conjugate Gradient (SCG…”
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Using artificial neural network and multivariate calibration methods for simultaneous spectrophotometric analysis of Emtricitabine and Tenofovir alafenamide fumarate in pharmaceutical formulation of HIV drug by Arabzadeh, Valeh, Sohrabi, Mahmoud Reza, Goudarzi, Nasser, Davallo, Mehran

“…) algorithms were used. Statistical parameters indicated that the ability of LM was better than GDX algorithm…”
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An artificial neural network algorithm and time series for improved forecasting of oil estimation: A case study of south korea and united kingdom (2001-2008) by Nadimi, V., Azadeh, A., Saberi, M., Fattahi, S., Danesh, B., Tajvidi, A.

“… Bayesian regularization backpropagation (BR), Levenberg-Marquardt back propagation (LM) and Gradient descent with momentum and adaptive learning rate backpropagation (GDX…”
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Speed and accuracy investigations of neural network algorithms for ionospheric modelling at an equatorial region by Abubakar, Sani, Okoh, Daniel, Tijjani, Bello Idris, Said, Rabia Salihu

“… The training algorithm is important for achieving the optimum performance of the trained network…”
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Estimation of Streamflow Using Different Artificial Neural Network Models by KÖYCEĞİZ, Cihangir, BÜYÜKYILDIZ, Meral

“…Accurate estimation of streamflow is crucial for water resources planning, design and management, determining of flood and drought management strategies, and…”
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Smart solutions for dissolved oxygen control in semi-batch fermenters: A machine learning approach by Sumathi, J., Aravind, P., Gandhimathi, G.

“…The monitoring and measurement of dissolved oxygen (DO), plays a significant role in industrial effluent, and disposal of effluents has been a serious…”
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Predictive Modeling of Signal Degradation in Urban VANETs Using Artificial Neural Networks by Muktar, Bappa, Fono, Vincent, Zongo, Meyo

“…In urban Vehicular Ad Hoc Network (VANET) environments, buildings play a crucial role as they can act as obstacles that attenuate the transmission signal…”
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SMART ANTENNA ADAPTIVE BEAM FORMING BASE ON NEURAL NETWORK WITH DIFFERENT TRAINING ALGORITHIMS by Adheed Hassan Sallomi, Sulaiman A.G. Albanee

“… Supervised learning algorithms were used to train the FFNN that used as adaptive beam former…”
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