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检索条件"主题词=Training algorithm"
209 条 记 录,以下是21-30 订阅
排序:
CAST: A constant Adaptive Skipping training algorithm for Improving the Learning Rate of Multilayer Feedforward Neural Networks
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Research Journal of Applied Sciences, Engineering and Technology 2016年 第8期12卷 790-812页
作者: R. Manjula Devi S. Kuppuswami Faculty of Computer Science and Engineering Kongu Engineering College Perundurai Erode
Multilayer Feedforward Neural Network (MFNN) has been administered widely for solving a wide range of supervised pattern recognition tasks. The major problem in the MFNN training phase is its long training time especi... 详细信息
来源: 评论
A homotopy training algorithm for fully connected neural networks
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PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES 2019年 第2231期475卷 1-19页
作者: Chen, Qipin Hao, Wenrui Penn State Univ Dept Math University Pk PA 16802 USA
In this paper, we present a homotopy training algorithm (HTA) to solve optimization problems arising from fully connected neural networks with complicated structures. The HTA dynamically builds the neural network star... 详细信息
来源: 评论
Comparison of the Classical algorithm with the training algorithm in Scheduling Problem ADI Production
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ARCHIVES OF FOUNDRY ENGINEERING 2022年 第1期22卷 5-12页
作者: Wilk-Kolodziejczyk, D. Chrzan, K. Jaskowiec, K. Pirowski, Z. Zuczek, R. Bitka, A. Machulec, D. AGH Univ Sci & Technol Krakow Poland Lukasiewicz Res Network Krakow Inst Technol Krakow Poland
A classical algorithm Tabu Search was compared with Q Learning (named learning) with regards to the scheduling problems in the Austempered Ductile Iron (ADI) manufacturing process. The first part comprised of a review... 详细信息
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A Global Convergence PSO training algorithm of Neural Networks
A Global Convergence PSO Training Algorithm of Neural Networ...
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8th World Congress on Intelligent Control and Automation (WCICA)
作者: Li, Ming Li, Wei Yang, Cheng-wu Southwest Forestry Univ Coll Commun Machinery & Civil Engn Kunming Yunnan Peoples R China Nanjing Univ Sci & Technol Coll Power Engn Nanjing Jiangsu Peoples R China
Traditional gradient-based training algorithms have been known to suffer from local minima and have heavy computation load for obtaining the derivative information. The particle swarm optimization (PSO) method was use... 详细信息
来源: 评论
The Improved training algorithm of Back Propagation Neural Network with Self-adaptive Learning Rate
The Improved Training Algorithm of Back Propagation Neural N...
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2009 International Conference on Computational Intelligence and Natural Computing(CINC 2009)
作者: Yong Li, Yang Fu, Hui Li and Si-Wen Zhang School of Energy Resources and Mechanical Engineering Northeast Dianli University Jilin City, China
This paper addresses the questions of improving convergence performance for back propagation (BP) neural network. For traditional BP neural network algorithm, the learning rate selection is depended on experience and ... 详细信息
来源: 评论
The assessment of Levenberg-Marquardt and Bayesian Framework training algorithm for prediction of concrete shrinkage by the artificial neural network
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COGENT ENGINEERING 2019年 第1期6卷 Article: 1609179页
作者: Garoosiha, Hosein Ahmadi, Jamal Bayat, Hossein Univ Zanjan Fac Engn Dept Civil Engn Zanjan Iran
Shrinkage and creep are the main concrete volume changes over time. This unacceptable concrete deformation leads to stress and cracks creation where eventually reduces the service life of concrete structures. Accordin... 详细信息
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Modulation spectrum-constrained trajectory training algorithm for GMM-based Voice Conversion
Modulation spectrum-constrained trajectory training algorith...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: S. Takamichi T. Toda A. W. Black S. Nakamura Grad. Sch. of Inf. Sci. Nara Inst. of Sci. & Technol. (NAIST) Nara Japan
This paper presents a novel training algorithm for Gaussian Mixture Model (GMM)-based Voice Conversion (VC). One of the advantages of GMM-based VC is computationally efficient conversion processing enabling to achieve... 详细信息
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Selection of Network Parameters in Direct ANN Modeling of Roughness Obtained in FFF Processes
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POLYMERS 2025年 第1期17卷 120-120页
作者: Buj-Corral, Irene Sivatte-Adroer, Maurici Rodero-de-Lamo, Lourdes Marco-Almagro, Lluis Univ Politecn Cataluna Barcelona Sch Ind Engn ETSEIB Dept Mech Engn Ave Diagonal 647 Barcelona 08028 Spain Univ Politecn Cataluna Polytech Sch Engn Vilanova & Geltru EPSEVG Dept Mech Engn Ave Victor Balaguer 1 Vilanova I La Geltru 08880 Spain Univ Politecn Catalunya UPC Barcelona Sch Ind Engn ETSEIB Dept Stat & Operat Res Av Diagonal 647 Barcelona 08028 Spain
Artificial neural network (ANN) models have been used in the past to model surface roughness in manufacturing processes. Specifically, different parameters influence surface roughness in fused filament fabrication (FF... 详细信息
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Neural networks trained by weight permutation are universal approximators
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NEURAL NETWORKS 2025年 187卷 107277页
作者: Cai, Yongqiang Chen, Gaohang Qiao, Zhonghua Beijing Normal Univ Sch Math Sci Lab Math & Complex Syst MOE Beijing 100875 Peoples R China Hong Kong Polytech Univ Dept Appl Math Hung Hom Kowloon Hong Kong Peoples R China Hong Kong Polytech Univ Inst Smart Energy Dept Appl Math & Res Hung HomKowloon Hong Kong Peoples R China
The universal approximation property is fundamental to the success of neural networks, and has traditionally been achieved by training networks without any constraints on their parameters. However, recent experimental... 详细信息
来源: 评论
Metaheuristic multi-objective optimization with artificial neural networks surrogate modeling for optimal energy-economic performance for CSP technology
ENERGY AND AI
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ENERGY AND AI 2025年 20卷
作者: Allouhi, A. Amine, M. Benzakour Aoul, K. A. Tabet USMBA Ecole Super Technol Fes Route ImouzzerBP 2427 Fes Morocco Univ Chouaib Doukkali Fac Sci El Jadida El Jadida 24000 Morocco United Arab Emirates Univ Coll Engn Architectural Engn Dept POB 15551 Al Ain U Arab Emirates
Among CSP technologies, the linear Fresnel reflector (LFR) can provide reliable carbon-neutral electricity for large-scale applications. In this study, the performance of a large solar LFR power plant under varying cl... 详细信息
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