Suchergebnisse - Batch gradient learning algorithm

Convergence of batch gradient learning algorithm with smoothing L1/2 regularization for Sigma–Pi–Sigma neural networks von Liu, Yan, Li, Zhengxue, Yang, Dakun, Mohamed, Kh.Sh, Wang, Jing, Wu, Wei

“… –Sigma neural networks. Compared with conventional gradient learning algorithm, this method produces sparser weights and simpler structure, and it improves the learning efficiency …”
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Deterministic convergence of complex mini-batch gradient learning algorithm for fully complex-valued neural networks von Zhang, Huisheng, Zhang, Ying, Zhu, Shuai, Xu, Dongpo

“… This paper investigates the fully complex mini-batch gradient algorithm for training complex-valued neural networks …”
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Convergence analysis of the batch gradient-based neuro-fuzzy learning algorithm with smoothing L 1/2 regularization for the first-order Takagi–Sugeno system von Liu, Yan, Yang, Dakun

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Batch Gradient Learning Algorithm with Smoothing L1 Regularization for Feedforward Neural Networks von Mohamed, Khidir Shaib

“… In this paper, we propose a batch gradient learning algorithm with smoothing L1 regularization (BGSL1 …”
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Batch Gradient Learning Algorithm with Smoothing Regularization for Feedforward Neural Networks von Khidir Shaib Mohamed

“… In this paper, we propose a batch gradient learning algorithm with smoothing L1 regularization (BGS L1 …”
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Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models von 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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Convergence analysis of the batch gradient-based neuro-fuzzy learning algorithm with smoothing L1/2 regularization for the first-order Takagi–Sugeno system von Liu, Yan, Yang, Dakun

“… The neuro-fuzzy learning algorithm involves two tasks: generating comparable sparse networks and training the parameters …”
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A Batch Variable Learning Rate Gradient Descent Algorithm With the Smoothing L1/2 Regularization for Takagi-Sugeno Models von Lu, Yunlong, Li, Wenyu, Wang, Hongwei

“… A batch variable learning rate gradient descent algorithm is proposed to efficiently train a neuro-fuzzy network of zero-order Takagi-Sugeno inference systems …”
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A Batch Variable Learning Rate Gradient Descent Algorithm With the Smoothing L 1/2 Regularization for Takagi-Sugeno Models von Lu, Yunlong, Li, Wenyu, Wang, Hongwei

“… A batch variable learning rate gradient descent algorithm is proposed to efficiently train a neuro-fuzzy network of zero-order Takagi-Sugeno inference systems …”
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Network revenue management with online inverse batch gradient descent method von Chen, Yiwei, Shi, Cong

“… ' prices but is concave in products' market shares (or price‐controlled demand rates). This creates challenges in adopting any stochastic gradient descent …”
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Trustworthy Network Anomaly Detection Based on an Adaptive Learning Rate and Momentum in IIoT von Yan, Xiaodan, Xu, Yang, Xing, Xiaofei, Cui, Baojiang, Guo, Zihao, Guo, Taibiao

“… and trustworthiness of IIoT devices has become an urgent problem to solve. In this article, we design a new hinge classification algorithm based on mini-batch gradient descent with an adaptive learning rate and momentum (HCA-MBGDALRM …”
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Big data dimensionality reduction-based supervised machine learning algorithms for NASH diagnosis von Tutsoy, Onder, Ozturk, Huseyin Ali, Sumbul, Hilmi Erdem

“… Optimization with Artificial Neural Networks (PSO-ANN) machine learning algorithm. Then, a gradient based Batch Least Squares (BLS …”
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A learning algorithm with a gradient normalization and a learning rate adaptation for the mini-batch type learning von Ito, Daiki, Okamoto, Takashi, Koakutsu, Seiichi

“… The learning algorithms with gradient normalization mechanisms have been investigated, and their effectiveness has been shown …”
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Explore a deep learning multi-output neural network for regional multi-step-ahead air quality forecasts von Zhou, Yanlai, Chang, Fi-John, Chang, Li-Chiu, Kao, I-Feng, Wang, Yi-Shin

“… ) neural network model that were incorporated with three deep learning algorithms (i.e., mini-batch gradient descent, dropout neuron and L2 regularization …”
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Adaptive stochastic conjugate gradient for machine learning von Yang, Zhuang

“… ) algorithms have been widely used in machine learning. This paper considers conjugate gradient in the mini-batch setting …”
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A Static Security Region Analysis of New Power Systems Based on Improved Stochastic–Batch Gradient Pile Descent von Wu, Jiahui, Zhou, Yide, Wang, Haiyun, Wang, Weiqing

“… To address the slow training speed of traditional deep learning algorithms using batch gradient descent (BGD …”
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A new lightweight deep neural network for surface scratch detection von Li, Wei, Zhang, Liangchi, Wu, Chuhan, Cui, Zhenxiang, Niu, Chao

“… To this end, a large surface scratch dataset obtained from cylinder-on-flat sliding tests was used to train the WearNet with appropriate training parameters such as learning rate, gradient algorithm and mini-batch size …”
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A Fast Adaptive Online Gradient Descent Algorithm in Over-Parameterized Neural Networks von Yang, Anni, Li, Dequan, Li, Guangxiang

“… Although many first-order adaptive gradient algorithms (e.g., Adam, AdaGrad) have been proposed to adjust the learning rate, they are vulnerable to the initial learning …”
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Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation von Yoo, Haeun, Kim, Boeun, Kim, Jong Woo, Lee, Jay H.

“… •DDPG algorithm is modified with Monte-Carlo learning for stable agent training.•Suggested algorithm is applied to a batch polymerization process control problem …”
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Comparison of Stochastic Steepest Gradient Descent and Extended Kalman Filter as ARMA-FNN Learning Algorithms for Data-Driven System Identification of Batch Distillation Column von Nasution, Muhammad Alifsyah Putra, Mahayana, Dimitri, Rusmin, Pranoto Hidaya, Zidni, Hasan

“… The plant used in this study is a batch-type distillation column system located in the ITB Honeywell Control Systems Laboratory, capable of separating binary mixtures of ethanol and water …”
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