Výsledky vyhľadávania - "Gradient-based learning algorithm"

A Novel Fractional Gradient-Based Learning Algorithm for Recurrent Neural Networks Autor Khan, Shujaat, Ahmad, Jawwad, Naseem, Imran, Moinuddin, Muhammad

“…In this research, we propose a novel algorithm for learning of the recurrent neural networks called as the fractional back-propagation through time (FBPTT)…”
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A supervised gradient-based learning algorithm for optimized entity resolution Autor Reyes-Galaviz, Orion F., Pedrycz, Witold, He, Ziyue, Pizzi, Nick J.

“…The task of probabilistic record linkage is to find and link records that refer to the same entity across several disparate data sources. The accurate linking…”
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Convergence of a modified gradient-based learning algorithm with penalty for single-hidden-layer feed-forward networks Autor Wang, Jian, Zhang, Bingjie, Sang, Zhaoyang, Liu, Yusong, Wu, Shujun, Miao, Quan

“…Based on a novel algorithm, known as the upper-layer-solution-aware (USA), a new algorithm, in which the penalty method is introduced into the empirical risk,…”
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Convergence of a Gradient-Based Learning Algorithm With Penalty for Ridge Polynomial Neural Networks Autor Fan, Qinwei, Peng, Jigen, Li, Haiyang, Lin, Shoujin

“…Recently there have been renewed interests in high order neural networks (HONNs) for its powerful mapping capability. Ridge polynomial neural network (RPNN) is…”
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Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models Autor Liu, Yan, Yang, Dakun, Nan, Nan, Guo, Li, Zhang, Jianjun

“…By combining of the benefits of high-order network and TSK (Tagaki-Sugeno-Kang) inference system, Pi-Sigma network is capable to dispose with the nonlinear…”
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Neurofuzzy-Based Plant-Wide Hierarchical Coordinating Optimization and Control: An Application to Zinc Hydrometallurgy Plant Autor Xie, Shiwen, Xie, Yongfang, Ying, Hao, Jiang, Zhaohui, Gui, Weihua

“…) is used in this layer. Also used are FNNs with a gradient-based learning algorithm, which are trained to represent the models of the processes…”
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Short-term load forecasting of Australian National Electricity Market by an ensemble model of extreme learning machine Autor Zhang, Rui, Dong, Zhao Yang, Xu, Yan, Meng, Ke, Wong, Kit Po

“… However, traditional ANNs are mostly trained by gradient-based learning algorithms which usually suffer from excessive training and tuning burden as well as unsatisfactory generalization performance…”
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A servo system control with time-varying and nonlinear load conditions using type-2 TSK fuzzy neural system Autor Kayacan, Erdal, Oniz, Yesim, Aras, Ayse Cisel, Kaynak, Okyay, Abiyev, Rahib

“…A type-2 Takagi-Sugeno-Kang fuzzy neural system is proposed and its parameter update rules are derived using fuzzy clustering and gradient learning algorithms…”
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An efficient conjugate gradient based learning algorithm for multiple optimal learning factors of multilayer perceptron neural network Autor Xun Cai, Tyagi, Kanishka, Manry, Michael T., Zhi Chen

“…In this paper, a second order learning algorithm based on Conjugate Gradient (CG) method for finding Multiple Optimal Learning Factors (MOLFs) of multilayer…”
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Forward layer-wise learning of convolutional neural networks through separation index maximizing Autor Karimi, Ali, Kalhor, Ahmad, Sadeghi Tabrizi, Melika

“… Hence, by approximating the SI with a variant of local triplet loss at each layer, a gradient-based learning algorithm is suggested to maximize…”
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Spatial-Temporal Hybrid Neural Network With Computing-in-Memory Architecture Autor Bai, Kangjun, Liu, Lingjia, Yi, Yang

“… However, DL poses difficulties for efficient hardware implementation due to the needs of a complex gradient-based learning algorithm and the required high memory bandwidth for synaptic weight storage…”
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Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image Autor Tae-Kyun Kim, Kittler, J.

“…We present a novel method of nonlinear discriminant analysis involving a set of locally linear transformations called "Locally Linear Discriminant Analysis"…”
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Advances of metaheuristic algorithms in training neural networks for industrial applications Autor Chong, Hue Yee, Yap, Hwa Jen, Tan, Shing Chiang, Yap, Keem Siah, Wong, Shen Yuong

“… As a traditional gradient-based learning algorithm, ANN suffers from a slow learning rate and is easily trapped in local minima when training techniques such as gradient descent (GD…”
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Comparative study of integer-order and fractional-order artificial neural networks: Application for mathematical function generation Autor Joshi, Manisha Premkumar, Bhosale, Savita, Vyawahare, Vishwesh A.

“…: Perceptron employs a fractional derivative of the activation function and the steepest gradient-based learning algorithm…”
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Learning in random utility models via online decision problems Autor Melo, Emerson

“…‐makers lack full information about payoffs. We propose a gradient‐based learning algorithm that embeds RUM into an online decision‐making framework…”
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A new approach for function approximation incorporating adaptive particle swarm optimization and a priori information Autor Han, Fei, Ling, Qing-Hua

“… It is well known that gradient-based learning algorithms such as backpropagation (BP) algorithm have good ability of local search, whereas PSO has good ability of global search…”
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Enhancing quasi-nonlinear long-term cognitive networks with temporal attention for pattern classification Autor Nápoles, Gonzalo, Salgueiro, Yamisleydi

“…Long-term Cognitive Networks (LTCNs) are knowledge-based recurrent neural networks that hold significant promise in machine learning settings, particularly in…”
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Improving gradient-based learning algorithms for large scale feedforward networks Autor Ventresca, M., Tizhoosh, H.R.

“… which greatly improve the convergence rate and accuracy of gradient-based learning algorithms…”
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Nonlinear Analysis and Control of a Reaction-Wheel-Based 3-D Inverted Pendulum Autor Muehlebach, Michael, D'Andrea, Raffaello

“… For jump-up, a computationally efficient gradient-based learning algorithm is provided, which is shown experimentally to converge to the correct angular velocities enabling a successful jump…”
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Dynamic ensemble extreme learning machine based on sample entropy Autor Zhai, Jun-hai, Xu, Hong-yu, Wang, Xi-zhao

“…Extreme learning machine (ELM) as a new learning algorithm has been proposed for single-hidden layer feed-forward neural networks, ELM can overcome many drawbacks in the traditional gradient-based learning algorithm such as local…”
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