Search Results - Gradient-based learning algorithm*

Convergence analysis of the batch gradient-based neuro-fuzzy learning algorithm with smoothing L 1/2 regularization for the first-order Takagi–Sugeno system by Liu, Yan, Yang, Dakun

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A Novel Fractional Gradient-Based Learning Algorithm for Recurrent Neural Networks by 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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Convergence of a modified gradient-based learning algorithm with penalty for single-hidden-layer feed-forward networks by 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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A supervised gradient-based learning algorithm for optimized entity resolution by 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 Gradient-Based Learning Algorithm With Penalty for Ridge Polynomial Neural Networks by 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 by Liu, Yan, Yang, Dakun, Nan, Nan, Guo, Li, Zhang, Jianjun

“… The aim of this paper is to present a gradient-based learning method for Pi-Sigma network to train TSK fuzzy inference system…”
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Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm by Bai, Qinbo, Agarwal, Mridul, Aggarwal, Vaneet

“… A policy-gradient based model-free algorithm is proposed for the problem. To compute an estimate of the gradient, an asymptotically biased estimator is proposed…”
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Short-term scheduling of thermal power systems using hybrid gradient based modified teaching–learning optimizer with black hole algorithm by Azizipanah-Abarghooee, Rasoul, Niknam, Taher, Bavafa, Farhad, Zare, Mohsen

“…•Consider operating reserve, line flow limits and transmission losses in the formula.•Propose a new gradient-based MTLBO–BH…”
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Deep Deterministic Policy Gradient Algorithm Based Reinforcement Learning Controller for Single-Inductor Multiple-Output DC-DC Converter by Ye, Jian, Guo, Huanyu, Wang, Benfei, Zhang, Xinan

“… In this article, we propose a deep deterministic policy gradient algorithm based reinforcement learning (RL) controller…”
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Variable learning adaptive gradient based control algorithm for voltage source converter in distributed generation by Giri, Ashutosh K, Arya, Sabha Raj, Maurya, Rakesh, Mehar, Ramakanta

“…This study presents an adaptive control algorithm known as variable learning and adaptive gradient based least mean square for improving the power quality features in standalone distributed generation…”
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A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents by Zhang, Zhen, Wang, Dongqing, Zhao, Dongbin, Han, Qiaoni, Song, Tingting

“…Multi-agent reinforcement learning (MARL) can be used to design intelligent agents for solving cooperative tasks…”
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Neurofuzzy-Based Plant-Wide Hierarchical Coordinating Optimization and Control: An Application to Zinc Hydrometallurgy Plant by 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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Convergence analysis of the batch gradient-based neuro-fuzzy learning algorithm with smoothing L1/2 regularization for the first-order Takagi–Sugeno system by Liu, Yan, Yang, Dakun

“… The neuro-fuzzy learning algorithm involves two tasks: generating comparable sparse networks and training the parameters…”
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Short-term load forecasting of Australian National Electricity Market by an ensemble model of extreme learning machine by 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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An Analytic Policy Gradient-Based Deep Reinforcement Learning Motion Cueing Algorithm for Driving Simulators by Huang, Xiaowei, Shi, Xuhua, Wang, Peiyao, Xu, Hongzan, Tang, Xiaojun, Zhang, Gaoran

“…The proposed motion cueing algorithm (MCA), based on a reinforcement learning algorithm using gradient information to directly update the control policy, introduces three significant enhancements…”
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Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review by Kaveh, Mehrdad, Mesgari, Mohammad Saadi

“…) architectures is considered one of the most challenging machine learning problems. Several past studies have used gradient-based back propagation methods to train DL architectures…”
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A modified gradient-based neuro-fuzzy learning algorithm and its convergence by Wu, Wei, Li, Long, Yang, Jie, Liu, Yan

“… In this paper, a modified gradient-based neuro-fuzzy learning algorithm is proposed for zero-order Takagi…”
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Analysis of a Deep Learning-Based Superresolution Algorithm Tailored to Partial Fourier Gradient Echo Sequences of the Abdomen at 1.5 T: Reduction of Breath-Hold Time and Improvement of Image Quality by Afat, Saif, Wessling, Daniel, Afat, Carmen, Nickel, Dominik, Arberet, Simon, Herrmann, Judith, Othman, Ahmed E, Gassenmaier, Sebastian

“…The aim of this study was to investigate the feasibility and impact of a novel deep learning superresolution algorithm tailored to partial Fourier allowing retrospectively theoretical acquisition time reduction…”
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A Continual Learning algorithm based on Orthogonal Gradient Descent beyond Neural Tangent Kernel regime by Lee, Da Eun, Nakamura, Kensuke, Tak, Jae-Ho, Hong, Byung-Woo

“… In contrast to the conventional gradient-based basis that reflects an update of model within an infinitesimal range, our loss-based basis can account for the variance within two distinct points…”
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A servo system control with time-varying and nonlinear load conditions using type-2 TSK fuzzy neural system by 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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