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西安电子科技大学:《神经网络与模糊系统 Neural Networks and Fuzzy Systems》课程PPT课件讲稿(2003)10. 模糊与卡尔曼滤波目标跟踪控制系统的比较 Comparison of Fuzzy and Kalman-Filter Target-Tracking Control Systems
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西安电子科技大学:《神经网络与模糊系统 Neural Networks and Fuzzy Systems》课程PPT课件讲稿(2003)08. 模糊与神经网络的比较——以倒车系统为例 Comparison of Fuzzy and Neural Truck Backer-Upper Control Systems
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西安电子科技大学:《神经网络与模糊系统 Neural Networks and Fuzzy Systems》课程教学资源(学科综述)模糊神经网络 Neuro-fuzzy Systems
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西安电子科技大学:《Digital Signal Processing》课程教学资源(课件讲稿)Chapter 2B Discrete Time Systems Part B Discrete-Time Systems
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• File systems overview • NFS & AFS (Andrew File System) • Google File System
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Peer-to-peer information systems:concepts and models, state-of-the-art, and future systems
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Examples of voting system What should be an ideal voting system ? Arrow's Impossibility Theorem Main idea of the proof of Arrow's Impossibility Theorem Yes-no voting systems and the dimension of these systems. How to quantify political power ? Examples of power indices and their applications to the LEGCO voting system
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• Part 1 – A1. Theory of CNN – A2. Feed forward details – A2. Back propagation details • Part B: CNN Systems • Part C: CNN Tools ch9. CNN. V9b3 2
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4.1 Basic memory management 4.2 Swapping (交换) 4.3 Virtual memory (虚拟内存) 4.4 Page replacement algorithms 4.5 Design issues for paging systems 4.6 Implementation issues 4.7 Segmentation (分段)
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8.1 采样控制 8.2 采样过程和采样定理 8.3 信号恢复 8.4 Z变换理论及线性差分方程求解 8.5 脉冲传递函数 8.6 采样系统的稳定性分析 8.7 采样系统的稳态误差 8.8 采样系统的暂态特性分析
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