Suchergebnisse - "the Error Back Propagation algorithm"

Improving the Error Back-Propagation Algorithm for Imbalanced Data Sets von 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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Improving the Error Back-Propagation Algorithm for Imbalanced Data Sets von 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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An approximation of the error back-propagation algorithm in a predictive coding network with local Hebbian synaptic plasticity von Whittington, James, Bogacz, Rafal

“… An effective and well-known algorithm for computing such changes in synaptic weights is the error back-propagation algorithm …”
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A Modified Error Function to Improve the Error Back-Propagation Algorithm for Multi-Layer Perceptrons von Oh, Sang-Hoon, Lee, Young-Jik

“… This paper proposes a modified error function to improve the error back-propagation (EBP) algorithm for multi-Layer perceptrons (MLPs) which suffers from slow …”
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Optimizing neural network classification by using the Cuckoo algorithm von Xue, Xiaojin, Pan, Yun, Jiang, Ruijuan, Liu, Yilan

“… However, the Error Back Propagation algorithm would face the problems of low accuracy, poor stability and slow convergence if the weights and thresholds are set improperly …”
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Theories of Error Back-Propagation in the Brain von Whittington, James C.R., Bogacz, Rafal

“… This review article summarises recently proposed theories on how neural circuits in the brain could approximate the error back-propagation algorithm used by artificial neural networks …”
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Experimental and numerical studies on lithium-ion battery heat generation behaviors von Wu, Chongtian, Wu, Linxu, Qiu, Chenghui, Yang, Jiaming, Yuan, Xiaolu, Cai, Yufei, Shi, Hong

“… A novel scheme based on experiments and BPNN (BP (back propagation) neural network is a multilayer feedforward neural network trained according to the error back propagation algorithm …”
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Response Attenuation of a Structure Equipped with ATMD under Seismic Excitations Using Methods of Online Simple Adaptive Controller and Online Adaptive Type-2 Neural-Fuzzy Controller von Sabetahd, Rasoul, Mousavi Ghasemi, Seyed Arash, Vafaei Poursorkhabi, Ramin, Mohammadzadeh, Ardashir, Zandi, Yousef

“… ) and the error back-propagation algorithm. A PID controller is also included in this method to increase the stability and robustness of the adaptive …”
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Fault Diagnosis of Rotating Machinery Based on 1D-2D Joint Convolution Neural Network von Du, Wenliao, Hu, Pengjie, Wang, Hongchao, Gong, Xiaoyun, Wang, Shuangyuan

“… Convolutional neural network has been widely used in fault diagnosis of mechanical devices. In particular, a 2-D convolutional neural network requires manual …”
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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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Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables von He, Yan-Lin, Xu, Yuan, Geng, Zhi-Qiang, Zhu, Qun-Xiong

“… In this paper, a hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) is proposed …”
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A novel robust regression model based on functional link least square (FLLS) and its application to modeling complex chemical processes von He, Yan-Lin, Zhu, Qun-Xiong

“… ). The FLANN model can be established by using the Error Back-propagation algorithm. However, the performance of the FLANN model is limited …”
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Error back-propagation algorithm for classification of imbalanced data von 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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Estimative of shaft and tip bearing capacities of single piles using multilayer perceptrons von Amâncio, Luciana, Dantas Neto, Silvrano, Cunha, Renato

“… bearing capacities of single piles based on a supervised training using the error back propagation algorithm …”
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Characterization of mammographic masses using a gradient-based segmentation algorithm and a neural classifier von Delogu, Pasquale, Evelina Fantacci, Maria, Kasae, Parnian, Retico, Alessandra

“… Computerized methods have recently shown a great potential in providing radiologists with a second opinion about the visual diagnosis of the malignancy of …”
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Multilayer Perceptron Neural Networks Model for Meteosat Second Generation SEVIRI Daytime Cloud Masking von Taravat, Alireza, Proud, Simon, Peronaci, Simone, Del Frate, Fabio, Oppelt, Natascha

“… It consists of a multi-layer perceptron with one hidden sigmoid layer, trained with the error back-propagation algorithm …”
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Inverter-Data-Driven Second-Level Power Forecasting for Photovoltaic Power Plant von Meng, Xiangjian, Gao, Feng, Xu, Tao, Zhou, Kangjia, Li, Wei, Wu, Qiang

“… Globally, the installed capacity of photovoltaic (PV) power plants is undergoing rapid growth. However, the random output power fluctuation of PV plants has …”
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PCM-Trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials von Demirag, Yigit, Moro, Filippo, Dalgaty, Thomas, Navarro, Gabriele, Frenkel, Charlotte, Indiveri, Giacomo, Vianello, Elisa, Payvand, Melika

“… Recently, a new class of three-factor spike-based learning rules have been proposed that can solve the temporal credit assignment problem and approximate the error back-propagation algorithm on complex tasks …”
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Bond Strength Assessment of Concrete-Corroded Rebar Interface Using Artificial Neutral Network von Wang, Yi, Geem, Zong Woo, Nagai, Kohei

“… Bond strength assessment is important for reinforced concrete structures with rebar corrosion since the bond degradation can threaten the structural safety. In …”
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Analysis and Simulation of the Early Warning Model for Human Resource Management Risk Based on the BP Neural Network von Yan, Xue, Sun, Shouheng, Deng, Xiangwu

“… The back propagation (BP) neural network is an information analysis and processing system formed by using the error back propagation algorithm to simulate the neural function and structure of the human brain, which can handle …”
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