Výsledky vyhledávání - "backpropagation algorithm"

A dynamic ensemble learning algorithm for neural networks Autor Alam, Kazi Md. Rokibul, Siddique, Nazmul, Adeli, Hojjat

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A review of artificial neural network models for ambient air pollution prediction Autor Cabaneros, Sheen Mclean, Calautit, John Kaiser, Hughes, Ben Richard

“…Research activity in the field of air pollution forecasting using artificial neural networks (ANNs) has increased dramatically in recent years. However, the…”
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Bayesian regularization networks for micropolar ternary hybrid nanofluid flow of blood with homogeneous and heterogeneous reactions: Entropy generation optimization Autor Sharma, Bhupendra K., Sharma, Parikshit, Mishra, Nidhish K., Noeiaghdam, Samad, Fernandez-Gamiz, Unai

“…This study aims to analyze a Bayesian regularization backpropagation algorithm for micropolar ternary hybrid nanofluid flow over curved surfaces with…”
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Complex-Valued Neural Networks: A Comprehensive Survey Autor Lee, ChiYan, Hasegawa, Hideyuki, Gao, Shangce

“…Complex-valued neural networks (CVNNs) have shown their excellent efficiency compared to their real counter-parts in speech enhancement, image and signal…”
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A method for suppressing spectrum aliasing of off-axis digital holograms based on Kronecker interpolation and backpropagation Autor Guan, Ying, Cui, Ze, Xu, Zihan, Zhou, Wenjing

“…•We propose a Kronecker interpolation and backpropagation algorithms to solve the spectrum aliasing and improve the resolution of off-axis digital holograms,…”
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Conservative set valued fields, automatic differentiation, stochastic gradient methods and deep learning Autor Bolte, Jérôme, Pauwels, Edouard

“…Modern problems in AI or in numerical analysis require nonsmooth approaches with a flexible calculus. We introduce generalized derivatives called conservative…”
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Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation Autor Scellier, Benjamin, Bengio, Yoshua

“…We introduce Equilibrium Propagation, a learning framework for energy-based models. It involves only one kind of neural computation, performed in both the…”
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Parameter identification of proton exchange membrane fuel cell via Levenberg-Marquardt backpropagation algorithm Autor Yang, Bo, Zeng, Chunyuan, Wang, Long, Guo, Yinyuan, Chen, Guanghua, Guo, Zhengxun, Chen, Yijun, Li, Danyang, Cao, Pulin, Shu, Hongchun, Yu, Tao, Zhu, Jiawei

“…It is essential to develop an accurate model of proton exchange membrane fuel cell (PEMFC) for a reliable operation and analysis, in which unknown parameters…”
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Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks Autor Nasser Al-Andoli, Mohammed, Chiang Tan, Shing, Ping Cheah, Wooi

“…In this paper, a parallel deep learning-based community detection method in large complex networks (CNs) is proposed. First, a CN partitioning method is…”
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The Cascaded Forward algorithm for neural network training Autor Zhao, Gongpei, Wang, Tao, Jin, Yi, Lang, Congyan, Li, Yidong, Ling, Haibin

“…Backpropagation (BP) algorithm has played a significant role in the development of deep learning. However, there exist some limitations associated with this…”
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Decoding Artificial Intelligence: A Tutorial on Neural Networks in Behavioral Research Autor Martínez-García, Javier, Montaño, Juan José, Jiménez, Rafael, Gervilla, Elena, Cajal, Berta, Núñez, Antonio, Leguizamo, Federico, Sesé, Albert

“…- Simplifying Complex Concepts: This tutorial helps to demystify ANNs by breaking down the backpropagation algorithm into manageable steps. Readers will gain…”
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Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines Autor Neftci, Emre O., Augustine, Charles, Paul, Somnath, Detorakis, Georgios

“…An ongoing challenge in neuromorphic computing is to devise general and computationally efficient models of inference and learning which are compatible with…”
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Prospective Methodologies in Hybrid Renewable Energy Systems for Energy Prediction Using Artificial Neural Networks Autor Rahman, Md Mijanur, Shakeri, Mohammad, Tiong, Sieh Kiong, Khatun, Fatema, Amin, Nowshad, Pasupuleti, Jagadeesh, Hasan, Mohammad Kamrul

“…This paper presents a comprehensive review of machine learning (ML) based approaches, especially artificial neural networks (ANNs) in time series data…”
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Optimal artificial neural network design for simultaneous modeling of multicomponent adsorption Autor 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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RESEARCH ON TECHNIQUES TO ENHANCE DDoS ATTACK PREVENTION USING CUMULATIVE SUM AND BACKPROPAGATION ALGORITHMS Autor Hoang Thi Phuong

“…This paper focuses on enhancing DDoS attack prevention capabilities through the combination of the Cumulative Sum (CUSUM) algorithm and the Backpropagation…”
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An approximate backpropagation learning rule for memristor based neural networks using synaptic plasticity Autor Negrov, D., Karandashev, I., Shakirov, V., Matveyev, Yu, Dunin-Barkowski, W., Zenkevich, A.

“…We describe an approximation to backpropagation algorithm for training deep neural networks, which is designed to work with synapses implemented with…”
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Optical modeling, solver, and design of macroscopic single-enantiomer carbon nanotube film and reconfigurable chiral photonic device Autor Fan, Jichao, Hillam, Benjamin, Guo, Cheng, Fujinami, Hiroyuki, Shiba, Koki, Xie, Haoyu, Chen, Ruiyang, Yanagi, Kazuhiro, Gao, Weilu

“…The interaction of circularly polarized light with chiral matter and functional devices enables novel phenomena and applications. Recently, macroscopic…”
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A multi-layer photonic spiking neural network with a modified backpropagation algorithm for nonlinear classification Autor Song, Ziwei, Xiang, Shuiying, Zhao, Shihao, Zhang, Yahui, Han, Yanan, Hao, Yue

“…In this work, we construct a fully connected multi-layer photonic spiking neural network (PSNN) based on excitable vertical-cavity surface-emitting lasers with…”
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Convergence of Constant Step Stochastic Gradient Descent for Non-Smooth Non-Convex Functions Autor Bianchi, Pascal, Hachem, Walid, Schechtman, Sholom

“…This paper studies the asymptotic behavior of the constant step Stochastic Gradient Descent for the minimization of an unknown function, defined as the…”
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Predicting The Number of Tourists Based on Backpropagation Algorithm Autor Dwi Marlina, Fatchul Arifin

“…The number of tourists always fluctuates every month, as happened in Kaliadem Merapi, Sleman. The purpose of this research is to develop a prediction system…”
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