Suchergebnisse - Bayesian regulation backpropagation algorithm

Optimal artificial neural network design for simultaneous modeling of multicomponent adsorption von Pauletto, Paola S., Dotto, Guilherme L., Salau, Nina P.G.

“… In this work, ultrasound-modified chitin (UM-chitin) was used to adsorb cobalt (Co2+), methylene blue (MB), and nickel (Ni2+) in single, binary and ternary …”
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Prediction of pool boiling heat transfer coefficient for various nano-refrigerants utilizing artificial neural networks von Zarei, M. J., Ansari, H. R., Keshavarz, P., Zerafat, M. M.

“… Diverse training algorithms, e.g., Bayesian regulation backpropagation, Levenberg–Marquardt (LM), Resilient backpropagation and scaled conjugate gradient were utilized …”
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Applying artificial neural networks for systematic estimation of degree of fouling in heat exchangers von Davoudi, Ehsan, Vaferi, Behzad

“… •The Bayesian regulation backpropagation is found as the best training algorithm.•The most powerful independent variables were determined by the Pearson’s approach …”
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A Bayesian regularized feed-forward neural network model for conductivity prediction of PS/MWCNT nanocomposite film coatings von Demirbay, Barış, Kara, Duygu Bayram, Uğur, Şaziye

“… ) was assigned as a single output in FFNN topology. Network training was carried out using a Bayesian regulation backpropagation algorithm …”
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Variational Bayes and the Principal Component Analysis Coupled With Bayesian Regulation Backpropagation Network to Retrieve Total Precipitable Water (TPW) From GCOM-W1/AMSR2 von Islam, Tanvir, Srivastava, Prashant K., Petropoulos, George P.

“… , a Bayesian regulation backpropagation network to translate the principal components to TPW estimate in the geophysical space …”
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Three-dimensional graphene network supported nickel-cobalt bimetallic alloy nanocatalyst for hydrogen production by hydrolysis of sodium borohydride and developing of an artificial neural network modeling to forecast hydrogen production rate von Karaman, Onur

“… Sodium borohydride (NaBH4) is regarded as the most viable chemical for hydrogen production via hydrolysis thanks to its high theoretical hydrogen content, …”
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Extraction of Phenolic Compounds with Antioxidant Activity from Strawberries: Modelling with Artificial Neural Networks (ANNs) von Golpour, Iman, Ferrão, Ana Cristina, Gonçalves, Fernando, Correia, Paula M. R., Blanco-Marigorta, Ana M., Guiné, Raquel P. F.

“… ) and Bayesian Regulation (BR) algorithms. Three independent variables (solvent concentration, volume/mass ratio and extraction time …”
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Performance comparison of feedforward neural network training algorithms in modelling microwave pyrolysis of oil palm fibre for hydrogen and biochar production von Nasrudin, Nor Anisa, Jewaratnam, Jegalakshimi, Hossain, Md Arafat, Ganeson, Poo Balan

“… Microwave pyrolysis of oil palm fibre (OPF) was conducted to study the effect of microwave power, temperature, and nitrogen (N2) flow rate on the production of …”
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A Hybrid Method Based on Combining Artificial Neural Network and Fuzzy Inference System for Simultaneous Computation of Resonant Frequencies of Rectangular, Circular, and Triangular Microstrip Antennas von Guney, K., Sarikaya, N.

“… ) of regular geometries. The ANN is trained with the Bayesian regulation algorithm. An algorithm that integrates least square method and backpropagation algorithm is used to identify the parameters of FIS …”
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Human Walking Gait Classification Utilizing an Artificial Neural Network for the Ergonomics Study of Lower Limb Prosthetics von Putri, Farika Tono, Caesarendra, Wahyu, Królczyk, Grzegorz, Glowacz, Adam, Prawibowo, Hartanto, Ismail, Rifky, Indrawati, Ragil Tri

“… Prosthetics and orthotics research, studies, and technologies have been evolving through the years. According to World Health Organization (WHO) data, it is …”
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A decision support system to determine optimal ventilator settings von Akbulut, Fatma Patlar, Akkur, Erkan, Akan, Aydin, Yarman, B Siddik

“… Background Choosing the correct ventilator settings for the treatment of patients with respiratory tract disease is quite an important issue. Since the task of …”
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Dexterity analysis and intelligent trajectory planning of redundant dual arms for an upper body humanoid robot von Sulaiman, Shifa, Sudheer, A.P.

“… ) and Bayesian regulation (BR) techniques are used as the backpropagation algorithms. The results from two backpropagation …”
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Artificial neural network analysis the pulsating Nusselt number and friction factor of TiO2/water nanofluids in the spirally coiled tube with magnetic field von Naphon, P., Wiriyasart, S., Arisariyawong, T.

“… •Heat transfer enhancement techniques are applied to improve the heat exchanger devices which the spirally fluted tube has been used as one of passive heat …”
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Novel intelligent neuro-structure optimized Bayesian distributed backpropagation for magnetohydrodynamics flow analysis of double-layer optical fiber coating von Naqvi, Sayyed Talha Gohar, Awan, Saeed Ehsan, Raja, Muhammad Asif Zahoor, Niazi, Shahab Ahmad

“… The presented investigation analyzes the influence of magnetohydrodynamic effects during the coating process by leveraging a novel design of intelligent Bayesian regularization scheme (IBRS …”
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Artificial Neural Network-Based Fault Identification for Grid-connected Electric Traction Network von Myint, Shwe, Dey, Prasenjit, Kirawanich, P., Sumpavakup, Chaiyut

“… ). The Bayesian regularization backpropagation as a supervised machine learning algorithm performs through more than a thousand fault scenarios …”
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Scaled UKF–NARX hybrid model for multi-step-ahead forecasting of chaotic time series data von Abdulkadir, Said Jadid, Yong, Suet-Peng

“… with exogenous inputs, trained using a modified Bayesian regulation backpropagation algorithm. To corroborate developments of the proposed hybrid model, real-life chaotic …”
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Artificial neural network analysis the pulsating Nusselt number and friction factor of TiO^sub 2^/water nanofluids in the spirally coiled tube with magnetic field von Naphon, P, Wiriyasart, S, Arisariyawong, T

“… ), Bayesian Regulation Backpropagation (BRB), and Resilient Backpropagation (RB) are applied to adjust errors for obtaining the optimal ANN model …”
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Method of Helicopter Turboshaft Engines’ Protection During Surge in Starting Mode von Baranovskyi, Denys, Vladov, Serhii, Bulakh, Maryna, Vysotska, Victoria, Vasylenko, Viktor, Czyżewski, Jan

“… This article proposes a mathematical model for protecting helicopter turboshaft engines from surges, starting with fuel metering supply and maintaining stable …”
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Toward an intelligent approach for predicting surface tension of binary mixtures containing ionic liquids von Soleimani, Reza, Saeedi Dehaghani, Amir Hossein, Shoushtari, Navid Alavi, Yaghoubi, Pedram, Bahadori, Alireza

“… To do so, a modeling method based on artificial neural network (ANN) trained by Bayesian regulation back propagation training algorithm (trainbr …”
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Modeling and Optimization of SE and SI of Copper Flotation via Hybrid GA–ANN von Salmani Nuri, Omid, Allahkarami, Ebrahim, Abdollahzadeh, Aliakbar

“… Multilayer NN with back propagation (BP) algorithm was trained by the standard Bayesian regulation algorithm in which the validation data set did not required to be apart from its training …”
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