Optimal Binary Index Assignments for a Class of Equiprobable scalar and Vector Quantizers
標(biāo)簽： Equiprobable Assignments Quantizers Optimal
上傳時(shí)間： 2014-01-04
上傳用戶：xieguodong1234
scalar control of the induction machine
標(biāo)簽： induction control machine scalar
上傳時(shí)間： 2017-03-19
上傳用戶：極客
Scource for Induction Motor scalar Control
標(biāo)簽： Induction Scource Control scalar
上傳時(shí)間： 2013-12-23
上傳用戶：13215175592
simple scalar tutorial for arm target
標(biāo)簽： tutorial simple scalar target
上傳時(shí)間： 2013-12-12
上傳用戶：妄想演繹師
Minimisation of scalar functions. Dichotomy method. A method of secants of parabolas. A golden section method
標(biāo)簽： method Minimisation Dichotomy functions
上傳時(shí)間： 2013-12-27
上傳用戶：rocwangdp
這個(gè)主要是研究：Simple Numerical Methods for scalar Conservation Laws
標(biāo)簽： Conservation Numerical Methods Simple
上傳時(shí)間： 2017-09-21
上傳用戶：cc1015285075
這個(gè)主要是研究：Basic Numerical Methods for scalar Conservation Laws
標(biāo)簽： Conservation Numerical Methods scalar
上傳時(shí)間： 2013-12-10
上傳用戶：dengzb84
自適應(yīng)(Adaptive)神經(jīng)網(wǎng)絡(luò)源程序 The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of neural networks: 1) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonlinear function of 4 variables
標(biāo)簽： collection implement Adaptive adaptive
上傳時(shí)間： 2015-04-09
上傳用戶：ywqaxiwang
The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of neural networks: 1) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonlinear function of 4 variables is included
標(biāo)簽： Neural collection implement Adaptive
上傳時(shí)間： 2013-12-23
上傳用戶：teddysha
by Randal L. Schwartz and Tom Phoenix ISBN 0-596-00132-0 Third Edition, published July 2001. (See the catalog page for this book.) the text of Learning Perl, 3rd Edition. Table of Contents Copyright Page Preface Chapter 1: Introduction Chapter 2: scalar Data Chapter 3: Lists and Arrays Chapter 4: Subroutines Chapter 5: Hashes Chapter 6: I/O Basics Chapter 7: Concepts of Regular Expressions Chapter 8: More About Regular Expressions Chapter 9: Using Regular Expressions Chapter 10: More Control Structures Chapter 11: Filehandles and File Tests Chapter 12: Directory Operations Chapter 13: Manipulating Files and Directories Chapter 14: Process Management Chapter 15: Strings and Sorting Chapter 16: Simple Databases Chapter 17: Some Advanced Perl Techniques Appendix A: Exercise Answers Appendix B: Beyond the Llama Index Colophon
標(biāo)簽： L. published Schwartz Edition
上傳時(shí)間： 2014-11-29
上傳用戶：kr770906
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