Suchergebnisse - "Error back propagation algorithm"

Chebyshev Neural Network based model for solving Lane–Emden type equations von 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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Ventilated cavity flows behind a backward facing step with a combination computational fluid dynamics and Error Back Propagation algorithm von 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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A New Constructing Rational Functions Method For Solving Lane−Emden Type Equations von 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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Single layer Chebyshev neural network model with regression-based weights for solving nonlinear ordinary differential equations von 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 von 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 von 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 von 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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Study on the Application of Error Back-Propagation Algorithm Applied to the Student Status Management in Higher Education Institutions von 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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Multi-modality image fusion based on enhanced fuzzy radial basis function neural networks von 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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The influence of parameter initialization on the training time and accuracy of a nonlinear regression model von Burnaev, E. V., Erofeev, P. D.

“… In order to construct a nonlinear regression model we have to accurately (in some sense) initialize parameters of the model. In this work we performed …”
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Algorithm for predicting functionally equivalent proteins from BLAST and HMMER searches von Yu, Dong Su, Lee, Dae-Hee, Kim, Seong Keun, Lee, Choong Hoon, Song, Ju Yeon, Kong, Eun Bae, Kim, Jihyun F

“… In order to predict biologically significant attributes such as function from protein sequences, searching against large databases for homologous proteins is a …”
Weitere Angaben

Deformation prediction by a feed forward artificial neural network during mouse embryo micromanipulation von Abbasi, Ali A., Sharif University of Technology, Tehran, Iran, Vossoughi, G.R., Sharif University of Technology, Tehran, Iran, Ahmadian, M.T., Sharif University of Technology, Tehran, Iran

“… In this study, a neural network (NN) modeling approach has been used to predict the mechanical and geometrical behaviors of mouse embryo cells. Two NN models …”
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Evaluation of Convergence of Neural Network Regulators Training Methods von Feofilov, Dmitry

“… Neural network controllers are a promising replacement for classical controls in closed tracking systems, but for the correct operation of an artificial neural …”
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The perceptron Training Process Optimization for Recognizing Graphic Objects in an Image von Yakubovich, A. N., Shashina, E. V., Yakubovich, I. A.

“… The training process of a single-layer perceptron to recognize graphic objects on a pre-segmented image is considered and proposals for the most saving neural …”
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Artificial neural networks for prediction of mycobacterial promoter sequences von Kalate, Rupali N., Tambe, Sanjeev S., Kulkarni, Bhaskar D.

“… A multilayered feed-forward ANN architecture trained using the error-back-propagation (EBP) algorithm has been developed for predicting whether a given …”
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Research on Formation Pressure Prediction Based on Neural Network System Identification Theory von Liang, Cheng, Lijun, Sun

“… The traditional formation pressure calculation mostly uses the system identification method of empirical formula and fitting formula. It can not get …”
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Application of an artificial neural network in chromatography—retention behavior prediction and pattern recognition von Zhao, Rui Huan, Yue, Bing Fang, Ni, Jian Yi, Zhou, Han Fa, Zhang, Yu Kui

“… Layered feed-forward neural networks are powerful tools particularly suitable for the analysis of nonlinear multivariate data. In this paper, an artificial …”
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BP neural network-based web service selection algorithm in the smart distribution grid von Lanlan Rui, Yinglin Xiong, Ke Xiao, Xuesong Qiu

“… A good web selection algorithm can provide the most suitable service for users. However, known for its slow convergence rate and proneness of oscillation in …”
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Optimizing neural network classification by using the Cuckoo algorithm von Xue, Xiaojin, Pan, Yun, Jiang, Ruijuan, Liu, Yilan

“… Classification has become a very important field in the current era of big data. As one of the main stream algorithms for classification, the well-known Error …”
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ROBOG: Robo guide with simple learning strategy von Harish, Y., Kumar, R. Kranthi, Feroz, G. M. D. Irfan, Jada, Chakravarthi, Kumar, V. Anil, Mesa, Mounika

“… This paper presents ROBOG; an experimental effort in building an autonomous robot that can learn the navigation system of a known terrain and use it for …”
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