Fluent中文帮助文档(内含3个不同版本pdf文档)

深入浅出讲解SVM的原理和应用，有点类似于傻瓜式的教学方法，个人觉得很有帮助。SVM入门（一）SVM的八股简介SVM入门（二）线性分类器Part 1SVM入门（三）线性分类器Part 2SVM入门（四）线性分类器的求解——问题的描述Part1SVM入门（五）线性分类器的求解——问题的描述Part2SVM入门（六）线性分类器的求解——问题的转化，直观角度SVM入门（七）为何需要核函数SVM入门（八）松弛变量。 SVM入门（九）松弛变量（续）。 SVM入门（十）将SVM用于多类分类。

计算机上使用的FEC2/3前向纠错的算法，会增加冗余数据，但是能纠正一定数量的错误

Concepts in Programming Languages by John Mitchell.一本国外经典教材，看了之后对编程语言更加理解。费了很多劲才找到的。Concepts in Programming LanguagesThis textbook for undergraduate and beginning graduate students explains and examines the central concepts used in modern programminglanguages, such as functions, types, memory management, and controlThe book is unique in its comprehensive presentation and comparisonof major object-oriented programming languages. Separate chapters ex-amine the history of objects, Simula and Smalltalk, and the prominentanguages c++ and JavaThe author presents foundational topics, such as lambda calculus anddenotational semantics, in an easy-to-read, informal style, focusing on themain insights provided by these theories. Advanced topics include concurrency and concurrent object-oriented programming. A chapter on logicprogramming illustrates the importance of specialized programming meth-ods for certain kinds of problemsThis book will give the reader a better understanding of the issuesand trade-offs that arise in programming language design and a betterappreciation of the advantages and pitfalls of the programming languagesthey useJohn C. mitchell is Professor of Computer Science at Stanford University,where he has been a popular teacher for more than a decade. Many of hisformer students are successful in research and private industry. He received his ph D. from mit in 1984 and was a member of technical staff atat&T Bell Laboratories before joining the faculty at Stanford. Over thepast twenty years, Mitchell has been a featured speaker at internationalconferences; has led research projects on a variety of topics, includingprogramming language design and analysis, computer security, and applications of mathematical logic to computer science; and has written morethan 100 research articles. His previous textbook, Foundations for Pro-gramming Languages(MIT Press, 1996), covers lambda calculus, typesystems, logic for program verification, and mathematical semantics ofprogramming languages. Professor Mitchell was a member of the programming language subcommittee of the ACM/ieEE Curriculum 2001standardization effort and the 2002 Program Chair of the aCm principlesof programming languages conferenceCONCEPTS NPROGRAMMINGLANGUAGESJohn c. mitchellStanford UniversityCAMBRIDGEUNIVERSITY PRESSPUBLISHED BY THE PRESS SYNDICATE OF THE UNIVERSITY OF CAMBRIDGEThe Pitt Building, Trumpington Street, Cambridge, United KingdomCAMBRIDGE UNIVERSITY PRESSThe Edinburgh Building, Cambridge CB2 2RU, UK40 West 20th Street, New York, NY 10011-4211 USA477 Williamstown Road, Port Melbourne vic 3207, AustraliaRuiz de alarcon 13, 28014 Madrid, spainDock House, The Waterfront, Cape Town 8001, South Africahttp://www.cambridge.orgo Cambridge university press 2004First published in printed format 2002isBN 0-511-03492-X eBook(adobe readerISBN 0-521-78098-5 hardbackContentsPrefacepage IxPart 1 functions and foundations1 Introduction1.1 Programming Languages1.2 Goals1.3 Programming Language History3561.4 Organization: Concepts and Languages2 Computability2. 1 Partial Functions and computability102.2 Chapter SummaryExercises163 Lisp: Functions, Recursion, and Lists3.1 Lisp History183.2 Good Language design203. 3 Brief Language overview223.4 Innovations in the Design of Lisp253.5 Chapter Summary: Contributions of LispExercises404 Fundamentals484.1 Compilers and syntax484.2 Lambda calculus4.3 Denotational semantics4.4 Functional and Imperative Languages4.5 Chapter SummaryExercisesContentsPart 2 Procedures, Types, Memory Management, and Control5 The algol Family and ML5.1 The Algol Family of Programming Languages5.2 The Development of C5.3 The LCF System and ml5.4 The Ml Programming Language1035.5 Chapter summary121Exercises1226 Type Systems and Type Inference1296.1 Types in Programming1296.2 Type Safety and Type Checking1326.3 Type Inference1356.4 Polymorphism and Overloadin1456.5 Type Declarations and Type Equality1516.6 Chapter Summary155Exercises1567 Scope, Functions, and storage Management1627.1 Block-Structured Languages1627.2 In-Line blocks1657.3 Functions and procedures1707.4 Higher-Order functions1827.5 Chapter summary190Exercises1918 Control in Sequential Languages2048.1 Structured control2048.2 Exceptions2078.3 Continuations2188.4 Functions and evaluation order2238.5 Chapter summary227Exercises8Part 3 Modularity, Abstraction, and object-Oriented Programming9 Data Abstraction and Modularity2359.1 Structured Programming2359.2 Language Support for Abstraction2429.3 Modules9.4 Generic Abstractions2599.5 Chapter Summary269Exercises27110 Concepts in Object-Oriented Languages27710.1 Object-Oriented design27710.2 Four Basic concepts in object-Oriented languages278Contents10.3 Program Structure28810.4 Design Patterns29010.5 Chapter summary29210.6 Looking Forward: Simula, SmalltalkC++Java293Exercises29411 History of objects: Simula and smalltalk30011.1 Origin of Objects in Simula30011.2 Objects in Simula30311.3 Subclasses and Subtypes in Simula30811.4 Development of smalltalk31011.5 Smalltalk Language features31211.6 Smalltalk flexibilit31811.7 Relationship between Subtyping andInheritance2211.8 Chapter SummaryExercises32712 objects and Run-Time Efficiency: C++33712.1 Design goals and Constraints33712.2 Overview of c++34012.3 Classes. Inheritance and Virtual functions34612.4 Subtyping35512.5 Multiple inheritance12.6 Chapter summary366Exercises36713 Portability and Safety: Java38413.1 Java language overview38613.2 Java Classes and Inheritance38913.3 Java Types and Subtyping39613.4 Java System architecture40413.5 Security Features41213.6 Java summary417Exercises420Part 4 Concurrency and Logic Programming14 Concurrent and Distributed Programming43114.1 Basic Concepts in Concurrency43314.2 The actor model44114.3 Concurrent ML14.4 Java concurrency45414.5 Chapter Summary466Exercises469Contents15 The Logic Programming Paradigm and Prolog47515. 1 History of logic Programming15.2 Brief Overview of the logic Programming Paradigm4715. 3 Equations solved by Unification as Atomic Actions15.4 Clauses as Parts of procedure declarations48215.5 Prologs Approach to Programming48615.6 Arithmetic in Prolog49215.7 Control, Ambivalent Syntax, and Meta-Variables49615.8 Assessment of Prolog50515.9 Bibliographic remarks50715.10 Chapter Summary507Appendix a Additional Program Examples509A 1 Procedural and Object-Oriented organization509Glossary521Index525

通过实例对人工神经网络的实际应用进行分析和讲解，清晰的代码一目了然每神经元有许多输入、输出键,各神经元之间以连接键(又称突触)相连,它决定神经元之间的连接强度(突触强度)和性质(兴奋或抑制),即决定神经元间相互作用的强弱和正负,共有三种类型:兴奋型连接、抑制型连接、无连接。这样,个神经元(一般很大)构成一个相互影响的复杂网终系统,通过调整网络参数,可使人工神经网络具有所需要的特定功能,即学习、训练或自组织过程。一个简单的人工神经网络结构图如下所示:上图中,左侧为输入层(输入层的神经元个数由输入的维度决定),右侧为输出层(输出层的神经元个数由输出的维度决定),输入层与输出层之间即为隐层。输入层节点上的神经元接收外部环境的输入模式,并由它传递给相连隐层上的各个神经元。隐层是神经元网络的内部处理层,这些神经元在网络内部构成中间层,不直接与外部输入、输出打交道。人工经网络所具有的模式变换能力主要体现在隐层的神经元上。输出层用于产生神经网络的输出模式。多层神经网络结构中有代表性的有前向网络(BP网络)模型Page 3 of 25多层侧抑制神经网络模型和带有反馈的多层神经网络模型等。本文主要探讨前向网络模型多层前向神经网络不具有侧扣制和反馈的连接方式,即不其有本层之间或指向前一层的连接弧,只有指向下一层的连接弧。代表是BP神经网终:输入模式由输入层进入网终,经中间各隐层的顺序变换,最后由输出层产生一个输出模式,如下图所示:输入层隐层输出层多层前向神经网终由隐层神经元的非线性处理衍生它的能力,这个任务的关键在于将神经元的加权输入非线性转换成一个输出的非线性激励函数。下图给出了一个接收个输入的神经元:Page 4 of 25神经元的输出由下式给出:这里输入的加权和(括号内部分)由一个非线性函数传递,表示与偏差输入相关的权值,表示与第个输入相关的权值。使用最广泛的函数是S形函数,其曲线家族包括对数函数和双曲正切函数,这些都可用来对人口动态系统、经济学系统等建模。另外所用的其他函数有高斯函数、正弦函数、反正切函数,在此不一一展开介绍,本文主要使用的激励函数是对数函数,函数表达式为函数曲线如下图所示对于有限输入量,对数函数输出范围为∈。在输入为=时,输出值为中问值输出在—附近随着输入的增加以相对快的Page 5 of 25速率增加并非常慢地到达上限。对于

Unity skybox 45个天空盒，压缩包内有浏览图；里面公有9个Unity包，{注意}其中天空盒有的比较多有的比较少

DSP通过自带的uPP并行口与FPGA通信，uPP支持半双工通信，DSP型号为TMS320C6748。FPGA将前端采集到的原始数据发送给DSP，DSP进行处理后将计算后的结果传回FPGA。

基于栅格地图的模型，势场法的原理，设置初始点与目标点的路径规划图个人心血

该实例目的是在VC下利用OpenGL接口实现=三维实体旋转、平移和缩放功能，鼠标操作很流畅，对需要这些功能的开发人员具有重要参考价值！

java从本地读文件并上传Hbase

招商银行笔试真题