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检索条件"主题词=adaptive learning algorithm"
37 条 记 录,以下是21-30 订阅
排序:
Nonlinear system modeling using self-organizing fuzzy neural networks for industrial applications
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APPLIED INTELLIGENCE 2020年 第5期50卷 1657-1672页
作者: Zhou, Hongbiao Zhao, Huanyu Zhang, Yu Huaiyin Inst Technol Fac Automat Huaian 223003 Peoples R China
In this paper, a novel self-organizing fuzzy neural network with an adaptive learning algorithm (SOFNN-ALA) for nonlinear system modeling and identification in industrial processes is proposed. To efficiently enhance ... 详细信息
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Design and analysis of a novel chaotic diagonal recurrent neural network
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COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION 2015年 第1-3期26卷 11-23页
作者: Wang, Libiao Meng, Zhuo Sun, Yize Guo, Lei Zhou, Mingxing Donghua Univ Coll Mech Engn Shanghai 201620 Peoples R China Taizhou Univ Coll Mech Engn Taizhou 318000 Peoples R China
A chaotic neural network model with logistic mapping is proposed to improve the performance of the conventional diagonal recurrent neural network. The network shows rich dynamic behaviors that contribute to escaping f... 详细信息
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adaptive algorithms and networks for optimal feature extraction from Gaussian data
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PATTERN RECOGNITION LETTERS 2010年 第11期31卷 1331-1341页
作者: Ghassabeh, Youness Aliyari Moghaddam, Hamid Abrishami Queens Univ Dept Math & Stat Math & Engn Grp Kingston ON K7L 3N6 Canada
In this paper, new adaptive learning algorithms and correspondent networks are presented in order to extract optimal features from a sequence of multidimensional Gaussian data. For this purpose, novel adaptive algorit... 详细信息
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Coupled principal component analysis
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IEEE TRANSACTIONS ON NEURAL NETWORKS 2004年 第1期15卷 214-222页
作者: Möller, R Könies, A Max Planck Inst Psychol Res Robot Grp D-80799 Munich Germany Max Planck Inst Plasma Phys Stellarator Theory Grp D-17491 Greifswald Germany
A framework for a class of coupled principal component learning rules is presented. In coupled rules, eigenvectors and eigenvalues of a covariance matrix are simultaneously estimated in coupled equations. Coupled rule... 详细信息
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A Cognitive Vision Method for Insect Pest Image Segmentation
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IFAC-PapersOnLine 2018年 第17期51卷 85-89页
作者: Wang, Zhibin Wang, Kaiyi Liu, Zhongqiang Wang, Xiaofeng Pan, Shouhui Beijing Research Center for Information Technology in Agriculture Beijing 100097 China Faculty of Information Technology Beijing University of Technology Beijing 100124 China
Segmentation of pests from crop leaves is the prerequisite step for pest intelligent diagnosis. To improve the accuracy and stability of segmentation, a cognitive segmentation approach to pest images is present in thi... 详细信息
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Sensitivity-Based adaptive learning Rules for Binary Feedforward Neural Networks
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND learning SYSTEMS 2012年 第3期23卷 480-491页
作者: Zhong, Shuiming Zeng, Xiaoqin Wu, Shengli Han, Lixin Hohai Univ Inst Intelligence Sci & Technol Nanjing 210098 Jiangsu Peoples R China Univ Ulster Sch Comp & Math Coleraine BT37 0QB Londonderry North Ireland
This paper proposes a set of adaptive learning rules for binary feedforward neural networks (BFNNs) by means of the sensitivity measure that is established to investigate the effect of a BFNN's weight variation on... 详细信息
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Differential and geometric properties of Rayleigh quotients with applications
Differential and geometric properties of Rayleigh quotients ...
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IEEE International Symposium on Circuits and Systems
作者: Hasan, Mohammed A. Univ Minnesota Dept Elect & Comp Engn Duluth MN 55812 USA
In this paper, learning rules are proposed for simultaneous computation of minor eigenvectors of a covariance matrix. To understand the optimality conditions of Rayleigh quotients, many interesting identities and prop... 详细信息
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A Hybrid CKF-NNPID Controller for MIMO Nonlinear Control System  13
A Hybrid CKF-NNPID Controller for MIMO Nonlinear Control Sys...
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13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
作者: Sento, Adna Kitjaidure, Yuttana King Mongkuts Inst Technol Ladkrabang Sch Elect Engn Fac Engn Bangkok 10520 Thailand
This paper presents a detailed study to demonstrate the online tuning dynamic neural network PID controller to improve a joint angle position output performance of 4-joint robotic arm. The proposed controller uses a n... 详细信息
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Fuzzy Clustering of Biomedical Datasets Using BSB-Neuro-Fuzzy-Model  1
Fuzzy Clustering of Biomedical Datasets Using BSB-Neuro-Fuzz...
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1st International Workshop on Informatics and Data- Driven Medicine (IDDM)
作者: Perova, Iryna Bodyanskiy, Yevgeniy Sachenko, Anatoliy Karpinski, Mikolaj Rudyk, Pawel Kharkiv Natl Univ Radio Elect UA-61166 Kharkiv Ukraine Kazimierz Pulaski Univ Technol & Humanities Radom Radom Poland Ternopil Natl Econ Univ 3 Peremoha Sq UA-46020 Ternopol Ukraine Univ Bielsko Biala 2 Willowa St PL-43309 Bielsko Biala Poland
A special neural networks that contain autoassociative memory (AM) - BSB- and GBSB-models are investigated at this paper. These models are implemented on hypercube and solve the task of dataset clusterization due to t... 详细信息
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RBF neural network based predictive control of active power filter
RBF neural network based predictive control of active power ...
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IEEE Region 10 Conference on Analog and Digital Techniques in Electrical Engineering
作者: Wang, XH Xiao, JH Changsha Univ Sci & Technol Dept Elect & Informat Engn Changsha Peoples R China
A RBF neural network based predictive control of active power filter is presented in this paper. RBF neural network is employed to predict future harmonic compensating current. In order to make the predictive model mu... 详细信息
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