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检索条件"主题词=learning algorithm"
748 条 记 录,以下是591-600 订阅
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learning algorithm and retrieval process for the multiple classes random neural network model
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NEURAL PROCESSING LETTERS 2001年 第1期13卷 81-91页
作者: Aguilar, J Univ Los Andes Fac Ingn Dept Computat CEMISID Merida Venezuela
Gelenbe has modeled neural networks using an analogy with queuing theory. This model (called Random Neural Network) calculates the probability of activation of the neurons in the network. Recently, Fourneau and Gelenb... 详细信息
来源: 评论
Intelligent diagnosis in electromechanical operation systems
Intelligent diagnosis in electromechanical operation systems
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IEEE International Conference on Robotics and Automation
作者: Yuan, S Ge, M Qiu, H Lee, J Xu, YS Univ Wisconsin NSF Ctr Intelligent Maintenance Syst Milwaukee WI 53211 USA
The real-time fault detection and diagnosis are critical for healthy operation of electromechanical systems, of which the complex characteristics affect the performance of current shop floor fault diagnosis methods. A... 详细信息
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A study of neural network architecture for weak non-linear modeling
A study of neural network architecture for weak non-linear m...
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SICE 2004 Annual Conference
作者: Mizukami, Y Wakasa, Y Tanaka, K Yamaguchi Univ Ube Yamaguchi 755 Japan
This paper studies a property of neural network architecture for non-linear modeling. This method was proposed in our previous work and has three improvements;1) the design of a sigmoidal function with localized deriv... 详细信息
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Output-driven operation and memory-based architecture principles embedded in a real-world device
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Journal of Integrative Neuroscience 2004年 第2期3卷 133-142页
作者: Tsujino, Hiroshi Honda Res. Inst. Japan Co. Ltd. Wako Saitama 351-0114 8-1 Honcho Japan
Two principles of neurocomputational design are implemented into an autonomous real-world device, such as a helicopter. The helicopter has a motivational component towards emitting motor responses in a manner similar ... 详细信息
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Complex model identification based on RBF neural network
Complex model identification based on RBF neural network
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International Symposium on Neural Networks (ISNN 2004)
作者: Song, YB Wang, PJ Li, KL Yanti Univ Sch Comp Shandong 264005 Peoples R China
Based on the principle of Radial Basis Function (RBF) Neural Network, a learning method is presented for the identification of a complex system model. The RBF algorithm is employed on the learning and identifying proc... 详细信息
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The ContexTable: Building and Testing an Intelligent, Context-Aware Kitchen Table
The ContexTable: Building and Testing an Intelligent, Contex...
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作者: Hoopes, Daniel M. Brigham Young University
学位级别:M.Sc.
The purpose of this thesis was to design and evaluate The ContexTable, a context-aware system built into a kitchen table. After establishing the current status of the field of context-aware systems and the hurdles and... 详细信息
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Multigradient: A new neural network learning algorithm for pattern classification
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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2001年 第5期39卷 986-993页
作者: Go, J Han, G Kim, H Lee, C Yonsei Univ Dept Elect & Elect Engn Seoul 120749 South Korea
In this paper, we propose a new learning algorithm for multilayer feedforward neural networks, which converges faster and achieves a better classification accuracy than the conventional backpropagation learning algori... 详细信息
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Synthesis of supervisors using learning algorithm of regular languages
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DISCRETE EVENT DYNAMIC SYSTEMS-THEORY AND APPLICATIONS 2001年 第3期11卷 211-234页
作者: Hiraishi, K Japan Adv Inst Sci & Technol Kanazawa Ishikawa 9231292 Japan
We propose an algorithm for the synthesis of supervisors in discrete event systems. The algorithm is based on a learning algorithm of regular languages proposed by Angluin, and constructs a supervisor realizing an unk... 详细信息
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On the use of Blackwell's approachability theorem for stochastic dynamic programming
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IFAC Proceedings Volumes 2004年 第12期37卷 765-770页
作者: Hyeong Soo Chang Department of Computer Science and Engineering Sogang University Seoul Korea
We study solving large stochastic dynamic programming problems with simulation by using Blackwell’s approachability theorem to provide a rule of generating a (history-dependent) stochastic nonstationary policy from a... 详细信息
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Research of Intelligent Condition Monitoring Model for AUV
Research of Intelligent Condition Monitoring Model for AUV
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第五届全球智能控制与自动化大会会议
作者: Yujia WANG Mingjun ZHANG Ruichen SUN College of Mechanical and Electrical Engineering Harbin Engineering University Harbin,Heilongjiang Province,China
An intelligent condition monitoring model forpropellers and rudder of autonomous underwater vehicles(AUVs)was proposed,which was based on the FALCON with a3-step learning algorithm,The steps of the algorithm includedI... 详细信息
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