Search Results - "error back-propagation algorithm"

Direct Givens rotation method based on error back-propagation algorithm for self-consistent field solution by Oshima, Rei, Nakai, Hiromi

“…The self-consistent field (SCF) procedure is the standard technique for solving the Hartree-Fock and Kohn-Sham density functional theory calculations, while…”
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Research on performance degradation of force sensors based on improved error back propagation algorithm by Wang, Pengling, Wang, Peng, Wang, Chu, Wang, Bin, Chen, Chen, Li, Liangliang

“…Studying the performance degradation of force sensors, a core component of aircraft control stick force measurement devices, is essential. The key to…”
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Ventilated cavity flows behind a backward facing step with a combination computational fluid dynamics and Error Back Propagation algorithm by He, Zanyang, Sun, Tiezhi, Zou, Li, Jiang, Yichen, Duan, Lei

“…Ventilated cavity flow is of a great practical interest for the features that may reduce the drag around the area near the cavity. The present paper…”
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Error back-propagation algorithm for classification of imbalanced data by Oh, Sang-Hoon

“… In order to improve the classification of imbalanced data, this letter proposes a new error function for the error back-propagation algorithm of multilayer perceptrons…”
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Network Security Based on Improved Genetic Algorithm and Weighted Error Back-Propagation Algorithm by Liang, Junjuan

“… error back-propagation algorithm is proposed. The model combines the dynamic error weight and adaptive learning rate of the weighted error back-propagation algorithm to improve the learning ability of the model in dealing with classification…”
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Study on the Application of Error Back-Propagation Algorithm Applied to the Student Status Management in Higher Education Institutions by Yang, XinXiu

“…The objective of this work is to predict the employment rate of students based on the information in the SSM (student status management) in colleges and…”
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A Novel Intuitionistic Fuzzy Inhibitor Arc Petri Net With Error Back Propagation Algorithm and Application in Fault Diagnosis by Tan, Mingyue, Li, Jiming, Xu, Guangyuan, Cheng, Xuezhen

“…The setting and adjustment of the weight parameters in the traditional fault diagnosis method depend entirely on personal experience, and the parameter setting…”
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Fast neural network algorithm for solving classification tasks: Batch error back-propagation algorithm by Albarakati, Noor, Kecman, Vojislav

“…Classification is one-out-of several applications in the neural network (NN) world. Multilayer perceptron (MLP) is the common neural network architecture which…”
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AVLR-EBP: A Variable Step Size Approach to Speed-up the Convergence of Error Back-Propagation Algorithm by Didandeh, Arman, Mirbakhsh, Nima, Amiri, Ali, Fathy, Mahmood

“…A critical issue of Neural Network based large-scale data mining algorithms is how to speed up their learning algorithm. This problem is particularly…”
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Chebyshev Neural Network based model for solving Lane–Emden type equations by Mall, Susmita, Chakraverty, S.

“…The objective of this paper is to solve second order non-linear ordinary differential equations of Lane–Emden type using Chebyshev Neural Network (ChNN) model…”
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Improving the Error Back-Propagation Algorithm for Imbalanced Data Sets by Oh, Sang-Hoon

“… In order to improve the error back-propagation algorithm for the classification of imbalanced data sets, a new error function is proposed…”
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VSS SPU-EBP: Variable step size sequential partial update error back propagation algorithm by Rahmaninia, Maryam

“…In MLP networks with hundreds of thousands of weights which must be trained on millions of samples, the time and space complexity may become greatly large and…”
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Application of Factor Analysis Optimization Error Back Propagation Algorithm FA-BP Neural Network Equipment Fault Diagnosis Model by Liu, Yue

“…To enhance the precision of equipment fault diagnosis, a novel device fault diagnosis method based on factor analysis (FA) and an improved error back…”
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A New Constructing Rational Functions Method For Solving Lane−Emden Type Equations by He, Jilong, Zheng, Zhoushun, Du, Changfa

“…In this paper, a new construction machine learning method is proposed based on Rational Chebyshev polynomials to solve Lane–Emden type differential equations…”
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Error Back Propagation Algorithm with Adaptive Learning Rate by Kolbusz, Janusz, Rozycki, Pawel, Lysenko, Oleksandr, Wilamowski, Bogdan M.

“…Error Back Propagation algorithm is one of the most popular method for training artificial neural networks…”
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Single layer Chebyshev neural network model with regression-based weights for solving nonlinear ordinary differential equations by Chakraverty, S., Mall, Susmita

“…In this investigation, a novel single layer Functional Link Neural Network namely, Chebyshev artificial neural network (ChANN) model with regression-based…”
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Research of Adaptive Neuro-Fuzzy Network Algorithms ANFIS for Solving the Problem of Network Attack Identification by Denis Parfenov, Irina Bolodurina, Lyubov Zabrodina, Artur Zhigalov

“…At the moment, the pace of change in the nature of cybersecurity incidents necessitates the modification of existing algorithms for identifying attacks in…”
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Deep Recurrent Neural Network Architecture of High Order Indirect Integration Method by Xie, Zhengrong, Ai, Yibo, Chen, Jia, Wang, Fan, Zhang, Weidong

“…The indirect integration method (IIM) is a numerical method for initial value problem of ordinary differential equation, which is based on the residual…”
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Modular implementation of artificial neural network in predicting in-flight particle characteristics of an atmospheric plasma spray process by Choudhury, T.A., Berndt, C.C., Man, Zhihong

“…This paper presents a modular implementation of an artificial neural network to model the atmospheric plasma spray process in predicting the in-flight particle…”
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Multi-modality image fusion based on enhanced fuzzy radial basis function neural networks by Chao, Zhen, Kim, Dohyeon, Kim, Hee-Joung

“…•We have developed conventional fuzzy radial basis function (Fuzzy-RBF) neural network.•We proposed new method to train and update the neural network…”
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