series and parallel networks

CHAPTER 5 - SERIES AND PARALLEL CIRCUITS ppt

CHAPTER 5 - SERIES AND PARALLEL CIRCUITS ppt

... combination of series and parallel, too: In this circuit, we have two loops for electrons to flow through: one from to to to and back to again, and another from to to to to to and back to again ... component faults in both series and parallel circuits here, then to a greater degree at the end of the "Series- Parallel Combination Circuits" chapter Let's start with a simple series circuit: With ... point 1) In this configuration, we'd say that R2 and R3 are in parallel with each other, while R1 is in series with the parallel combination of R2 and R3 This is just a preview of things to come...

Ngày tải lên: 09/08/2014, 13:21

41 555 0
Principles of Digital Communication Systems and Computer Networks

Principles of Digital Communication Systems and Computer Networks

... thức, entropy H = 4.07 bit/ký hiệu Lưu ý: Hãy xem xét câu sau: "I not knw wheter this is undrstandble." Mặc dù thực tế số chữ tích câu bạn làm câu văn Nói cách khác, có nhiều khả dự phòng văn...

Ngày tải lên: 18/09/2012, 10:13

15 949 1
Programming Serial and Parallel Ports

Programming Serial and Parallel Ports

... interface and interaction The oldest is “simple parallel port,” which the API calls MODE_ SPP This is an output-only parallel port Other common modes include EPP (extended parallel port, MODE_ECP) and ... 10.7 and 10.8 for this), since you know what the response to your command should be and don’t proceed until you have received that response A well-known example is using a standard Hayes-command-set ... two of these DataThreads, one to handle data “traffic” from the keyboard to the remote, and one to handle bytes arriving from the remote and copy them to the standard output For each of these the...

Ngày tải lên: 27/10/2013, 14:15

32 319 0
Tài liệu Kalman Filtering and Neural Networks - Chapter 1: KALMAN FILTERS doc

Tài liệu Kalman Filtering and Neural Networks - Chapter 1: KALMAN FILTERS doc

... Wiley, 1986 [3] M.S Grewal and A.P Andrews, Kalman Filtering: Theory and Practice Englewood Cliffs, NJ: Prentice-Hall, 1993 [4] H.L Van Trees, Detection, Estimation, and Modulation Theory, Part ... where yk is the observable at time k and Hk is the measurement matrix The measurement noise vk is assumed to be additive, white, and Gaussian, with zero mean and with covariance matrix defined by ... scalar random variables; generalization of the theory to vector random variables is a straightforward matter Suppose we are given the observable yk ¼ xk þ vk ; where xk is an unknown signal and vk...

Ngày tải lên: 13/12/2013, 13:15

21 481 0
Tài liệu Kalman Filtering and Neural Networks P2 doc

Tài liệu Kalman Filtering and Neural Networks P2 doc

... demands on the network 2.5.2 Advantages and Extensions of Multistream Training Discussions of the training of networks with external recurrence often distinguish between series parallel and parallel ... begin with the series parallel configuration, then switch to the parallel configuration as the network learns the task Multistream training seems to lessen the need for the series parallel scheme; ... enabled the application of feedforward and recurrent neural networks to problems in control, signal processing, and pattern recognition In their work, Singhal and Wu developed a second-order, sequential...

Ngày tải lên: 14/12/2013, 13:15

45 452 0
Tài liệu Kalman Filtering and Neural Networks P3 doc

Tài liệu Kalman Filtering and Neural Networks P3 doc

...  circle moving right and up; square moving right and down; triangle moving right and up; circle moving right and down; square moving right and up; triangle moving right and down Training was ... Cortex, 1, 1–47 (1991) [2] J.S Lund, Q Wu and J.B Levitt, ‘‘Visual cortex cell types and connections’’, in M.A Arbib, Ed., Handbook of Brain Theory and Neural Networks, Cambridge, MA: MIT Press, 1995 ... Lomber, P Girard and J Bullier, ´ ‘‘Cortical feedback improves discrimination between figure and background by V1, V2 and V3 neurons’’, Nature, 394, 784–787 (1998) [4] M.W Oram and D.I Perrett,...

Ngày tải lên: 14/12/2013, 13:15

13 418 0
Tài liệu Kalman Filtering and Neural Networks P4 doc

Tài liệu Kalman Filtering and Neural Networks P4 doc

... 6-6R-5R-1 networks using the first 5000 samples in the same fashion as in the noise-free case The right-hand plots of Figures 4.9a and 4.9b show the attractors of the autonomously generated Ikeda series ... of chaotic invariants of Lorenz series Time series Table 4.5 4.4 MODELING NUMERICALLY GENERATED CHAOTIC TIME SERIES 103 Figure 4.12 One-step prediction of Lorenz series from different starting ... initialization and B ¼ one-step phase plots one-step predictions of the Lorenz time series for three different starting points The reconstruction of the Lorenz series was indeed very robust and stable,...

Ngày tải lên: 14/12/2013, 13:15

40 369 0
Tài liệu Kalman Filtering and Neural Networks P5 pdf

Tài liệu Kalman Filtering and Neural Networks P5 pdf

... @x xk ^ D ð5:9Þ and where Rv and Rn are the covariances of vk and nk , respectively 5.2.2 EKF–Weight Estimation As proposed initially in [30], and further developed in [31] and [32], the EKF ... ð5:63Þ ^ where xkjN and pkjN are defined as the conditional mean and variance of xk ^ ^ kjN given w and all the data, fyk gN The terms xÀ and pÀ are the conditional kjN mean and variance of xÀ ... for the original Henon series (a ), the ´ series generated by a neural network trained on xk (b), the series generated by a neural network trained on yk (c ), and the series generated by a neural...

Ngày tải lên: 14/12/2013, 13:15

51 489 0
Tài liệu Kalman Filtering and Neural Networks P6 pdf

Tài liệu Kalman Filtering and Neural Networks P6 pdf

... of f and g and the noise covariances Given observations of the (no longer hidden) states and outputs, f and g can be obtained as the solution to a possibly nonlinear regression problem, and the ... matrices A and B multiplying inputs x and u, respectively; and an output bias vector b, and the noise covariance Q Each RBF is assumed to be a Gaussian in x space, with center ci and width given ... admit exact and efficient inference (Here, and in what follows, we call a system linear if both the state evolution function and the state-to-output observation function are linear, and nonlinear...

Ngày tải lên: 14/12/2013, 13:15

46 495 0
Tài liệu Kalman Filtering and Neural Networks P7 pptx

Tài liệu Kalman Filtering and Neural Networks P7 pptx

... the parameters The use of the EKF for training neural networks has been developed by Singhal and Wu [8] and Puskorious and Feldkamp [9], and is covered in Chapter of this book The use of the ... ¼ Ck ¼  @x  @n D ^ xk ð7:29Þ  n and where Rv and Rn are the covariances of vk and nk , respectively The noise means are denoted by n ¼ E½nŠ and v ¼ E½vŠ, and are usually assumed to equal zero ... filtering (CDF) techniques developed separately by Ito and Xiong [12] and Nørgaard, Poulsen, and Ravn [13] In [7] van der Merwe and Wan show how the UKF and CDF can be unified in a general family of derivativefree...

Ngày tải lên: 14/12/2013, 13:15

60 432 0
Tài liệu Chapter 10 - Planning and Cabling Networks CCNA Exploration 4.0 ppt

Tài liệu Chapter 10 - Planning and Cabling Networks CCNA Exploration 4.0 ppt

... intermediate and end device connections in a LAN – Identify the pin out configurations for straight-through and crossover cables Identify the different cabling types, standards and ports used ... • Similar to the switch, cost and interface types and speeds must be considered as well Additional factors: – Expandability – Media – Operating System Features Expandability • Fixed configurations ... today's needs? – A mixture of UTP speeds? – Both UTP and fiber ports? • The number of UTP ports and fiber ports will be needed The number of Gbps ports and 10/100 Mbps ports H c vi n m ng Bách khoa...

Ngày tải lên: 22/12/2013, 13:17

45 455 1
Tài liệu Kalman Filtering and Neural Networks - Chapter 4: CHAOTIC DYNAMICS pdf

Tài liệu Kalman Filtering and Neural Networks - Chapter 4: CHAOTIC DYNAMICS pdf

... 6-6R-5R-1 networks using the first 5000 samples in the same fashion as in the noise-free case The right-hand plots of Figures 4.9a and 4.9b show the attractors of the autonomously generated Ikeda series ... of chaotic invariants of Lorenz series Time series Table 4.5 4.4 MODELING NUMERICALLY GENERATED CHAOTIC TIME SERIES 103 Figure 4.12 One-step prediction of Lorenz series from different starting ... initialization and B ¼ one-step phase plots one-step predictions of the Lorenz time series for three different starting points The reconstruction of the Lorenz series was indeed very robust and stable,...

Ngày tải lên: 23/12/2013, 07:16

40 431 0
Tài liệu Kalman Filtering and Neural Networks - Chapter 5: DUAL EXTENDED KALMAN FILTER METHODS docx

Tài liệu Kalman Filtering and Neural Networks - Chapter 5: DUAL EXTENDED KALMAN FILTER METHODS docx

... @x xk ^ D ð5:9Þ and where Rv and Rn are the covariances of vk and nk , respectively 5.2.2 EKF–Weight Estimation As proposed initially in [30], and further developed in [31] and [32], the EKF ... ð5:63Þ ^ where xkjN and pkjN are defined as the conditional mean and variance of xk ^ ^ kjN given w and all the data, fyk gN The terms xÀ and pÀ are the conditional kjN mean and variance of xÀ ... for the original Henon series (a ), the ´ series generated by a neural network trained on xk (b), the series generated by a neural network trained on yk (c ), and the series generated by a neural...

Ngày tải lên: 23/12/2013, 07:16

51 555 0
Tài liệu Kalman Filtering and Neural Networks - Chapter 6: LEARNING NONLINEAR DYNAMICAL SYSTEMS USING THE EXPECTATION– MAXIMIZATION ALGORITHM doc

Tài liệu Kalman Filtering and Neural Networks - Chapter 6: LEARNING NONLINEAR DYNAMICAL SYSTEMS USING THE EXPECTATION– MAXIMIZATION ALGORITHM doc

... of f and g and the noise covariances Given observations of the (no longer hidden) states and outputs, f and g can be obtained as the solution to a possibly nonlinear regression problem, and the ... matrices A and B multiplying inputs x and u, respectively; and an output bias vector b, and the noise covariance Q Each RBF is assumed to be a Gaussian in x space, with center ci and width given ... admit exact and efficient inference (Here, and in what follows, we call a system linear if both the state evolution function and the state-to-output observation function are linear, and nonlinear...

Ngày tải lên: 23/12/2013, 07:16

46 491 0
Tài liệu Kalman Filtering and Neural Networks - Chapter VII: THE UNSCENTED KALMAN FILTER pdf

Tài liệu Kalman Filtering and Neural Networks - Chapter VII: THE UNSCENTED KALMAN FILTER pdf

... the parameters The use of the EKF for training neural networks has been developed by Singhal and Wu [8] and Puskorious and Feldkamp [9], and is covered in Chapter of this book The use of the ... ¼ Ck ¼  @x  @n D ^ xk ð7:29Þ  n and where Rv and Rn are the covariances of vk and nk , respectively The noise means are denoted by n ¼ E½nŠ and v ¼ E½vŠ, and are usually assumed to equal zero ... filtering (CDF) techniques developed separately by Ito and Xiong [12] and Nørgaard, Poulsen, and Ravn [13] In [7] van der Merwe and Wan show how the UKF and CDF can be unified in a general family of derivativefree...

Ngày tải lên: 23/12/2013, 07:16

60 447 0
Tài liệu Kalman Filtering and Neural Networks - Contents pptx

Tài liệu Kalman Filtering and Neural Networks - Contents pptx

... Cherkassky and Mulier = LEARNING FROM DATA: Concepts, Theory, and Methods Diamantaras and Kung = PRINCIPAL COMPONENT NEURAL NETWORKS: Theory and Applications Haykin = KALMAN FILTERING AND NEURAL NETWORKS ... Kristic, Kanellakopoulos, and Kokotovic = NONLINEAR AND ADAPTIVE CONTROL DESIGN Nikias and Shao = SIGNAL PROCESSING WITH ALPHA-STABLE DISTRIBUTIONS AND APPLICATIONS Passino and Burgess = STABILITY ... Sanchez-Pena and Sznaler = ROBUST SYSTEMS THEORY AND ´ ˜ APPLICATIONS Sandberg, Lo, Fancourt, Principe, Katagiri, and Haykin = NONLINEAR DYNAMICAL SYSTEMS: Feedforward Neural Network Perspectives ´ Tao and...

Ngày tải lên: 23/12/2013, 07:16

17 431 0
Tài liệu ADVANCED COMPUTER ARCHITECTURE AND PARALLEL PROCESSING doc

Tài liệu ADVANCED COMPUTER ARCHITECTURE AND PARALLEL PROCESSING doc

... COMPUTER ARCHITECTURE AND PARALLEL PROCESSING TEAM LinG - Live, Informative, Non-cost and Genuine ! WILEY SERIES ON PARALLEL AND DISTRIBUTED COMPUTING SERIES EDITOR: Albert Y Zomaya Parallel & Distributed ... Martin Fleury and Andrew Downton Handbook of Wireless Networks and Mobile Computing / Ivan Stojmenoviic (Editor) Internet-Based Workflow Management: Toward a Semantic Web / Dan C Marinescu Parallel ... Heterogeneous Networks / Alexey L Lastovetsky Tools and Environments for Parallel and Distributed Computing Tools / Salim Hariri and Manish Parashar Distributed Computing: Fundamentals, Simulations and...

Ngày tải lên: 23/12/2013, 16:15

287 489 0
w