Suchergebnisse - "Scaled Conjugate Gradient Algorithm"

Particle swarm optimization trained neural network for structural failure prediction of multistoried RC buildings von Chatterjee, Sankhadeep, Sarkar, Sarbartha, Hore, Sirshendu, Dey, Nilanjan, Ashour, Amira S., Balas, Valentina E.

“… Faulty structural design may cause multistory reinforced concrete (RC) buildings to collapse suddenly. All attempts are directed to avoid structural failure as …”
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Neural Network Approximation of Helicopter Turboshaft Engine Parameters for Improved Efficiency von Vladov, Serhii, Yakovliev, Ruslan, Bulakh, Maryna, Vysotska, Victoria

“… The work is devoted to the development of a method for neural network approximation of helicopter turboshaft engine parameters, which is the basis for …”
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Utilizing AI and IoT technologies for identifying risk factors in sports von Chen, Zhiling, Dai, Xinghong

“… A dynamic cooperation is poised to redefine the limits of athlete safety and performance optimization in the dynamic field of sports science. A new age in …”
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Heart disease prediction using scaled conjugate gradient backpropagation of artificial neural network von Paul, Banibrata, Karn, Bhaskar

“… Heart disease is a deadly disease in human life. The mortality rate from any disease is the highest in the world. Therefore, before reaching the final stage of …”
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Appraisal of long-term effects of fly ash and silica fume on compressive strength of concrete by neural networks von Pala, Murat, Özbay, Erdoğan, Öztaş, Ahmet, Yuce, M. Ishak

“… This study focuses on studying the effects of fly ash and silica fume replacement content on the strength of concrete cured for a long-term period of time by …”
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Intelligent process modeling and optimization of die-sinking electric discharge machining von Joshi, S.N., Pande, S.S.

“… This paper reports an intelligent approach for process modeling and optimization of electric discharge machining (EDM). Physics based process modeling using …”
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Investigating Feed-Forward Back-Propagation Neural Network with Different Hyperparameters for Inverse Kinematics of a 2-DoF Robotic Manipulator: A Comparative Study von Bouzid, Rania, Gritli, Hassène, Narayan, Jyotindra

“… Inverse kinematics is a significant challenge in robotic manipulators, and finding practical solutions plays a crucial role in achieving precise control. This …”
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Learning Algorithms for Quaternion-Valued Neural Networks von Popa, Călin-Adrian

“… This paper presents the deduction of the enhanced gradient descent, conjugate gradient, scaled conjugate gradient, quasi-Newton, and Levenberg–Marquardt …”
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Neural network based approach for determining the shear strength of circular reinforced concrete columns von Caglar, Naci

“… The objective of this study is to investigate the adequacy of neural networks (NN) as a quicker, more secure and more robust method to determine the shear …”
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A nonmonotone scaled conjugate gradient algorithm for large-scale unconstrained optimization von Ou, Yigui, Zhou, Xin

“… This paper proposes a nonmonotone scaled conjugate gradient algorithm for solving large-scale unconstrained optimization problems, which combines the idea of …”
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Speeding up the scaled conjugate gradient algorithm and its application in neuro-fuzzy classifier training von Cetişli, Bayram, Barkana, Atalay

“… The aim of this study is to speed up the scaled conjugate gradient (SCG) algorithm by shortening the training time per iteration. The SCG algorithm, which is a …”
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A parametric study for specific fuel consumption of an intercooled diesel engine using a neural network von Uzun, Abdullah

“… ► Parametric study is executed to investigate on the engine specific fuel consumption. ► These data were used to enhance train and test a NN model using a …”
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Air mass flow estimation of diesel engines using neural network von Uzun, Abdullah

“… •We examine changes of air intake in diesel engine variety of engine speed.•Experimental studies are not enough all speeds of engine.•Neural network (NN) is …”
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SAGRAD: A Program for Neural Network Training with Simulated Annealing and the Conjugate Gradient Method von Bernal, Javier, Torres-Jimenez, Jose

“… SAGRAD (Simulated Annealing GRADient), a Fortran 77 program for computing neural networks for classification using batch learning, is discussed. Neural network …”
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A neuro-fuzzy approach for modelling electricity demand in Victoria von Abraham, Ajith, Nath, Baikunth

“… Neuro-fuzzy systems have attracted growing interest of researchers in various scientific and engineering areas due to the increasing need of intelligent …”
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GPS GDOP classification via improved neural network trainings and principal component analysis von Azami, Hamed, Sanei, Saeid

“… Geometric dilution of precision (GDOP) is an engineering expression that denotes how well the constellation of global positioning system (GPS) satellites is …”
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DETECTION OF SLEEP APNEA IN ECG SIGNAL USING PAN-TOMPKINS ALGORITHM AND ANN CLASSIFIERS von Bali, Jyoti, Nandi, Anilkumar, Hiremath, P S, Patil, Poornima G

“… In this paper, a novel methodology for Sleep apnea detection is proposed using ECG signal analysis. It involves the following sequential procedure: …”
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Neural networks in 3-dimensional dynamic analysis of reinforced concrete buildings von Caglar, Naci, Elmas, Muzaffer, Yaman, Zeynep Dere, Saribiyik, Mehmet

“… The objective of this study is to investigate the adequacy of Artificial Neural Networks (ANN) as a securer, quicker and more robust method to determine the …”
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Crack Localization in Hydraulic Turbine Blades Based on Kernel Independent Component Analysis and Wavelet Neural Network von Wang, Xianghong, Mao, Hanling, Hu, Hongwei, Zhang, Zhiyong

“… Hydraulic turbine runner has a complex structure, and traditional location methods can’t meet its requirement. This paper describes a source location of cracks …”
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A note on the global convergence theorem of the scaled conjugate gradient algorithms proposed by Andrei von Babaie-Kafaki, Saman

“… In (Andrei, Comput. Optim. Appl. 38:402–416, 2007 ), the efficient scaled conjugate gradient algorithm SCALCG is proposed for solving unconstrained …”
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