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[AI-NN-PR] svm_v0.55beta DL : 0: 最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it.
Date : 2025-12-30 Size : 168kb User : 金星
[AI-NN-PR] Substituter.java DL : 0: 代入法的启发示搜索我的代码实现是：按照自然语言各字母出现频率的大小从高到低（已经有人作国统计分析了）先生成一张字母出现频率统计表（A）--------(e),(t,a,o,i,n,s,h,r),(d,l),(c,u,m,w,f,g,y,p,b),(v,k,j,x,q,z) ，再对密文字母计算频率，并按频率从高到低生成一张输入密文字母的统计表（B），通过两张表的对应关系，不断用A中的字母去替换B中的字母，搜索不成功时就回退，在这里回朔是一个关键。 -generation into a search of inspiration I said a code is : According to the Natural Language alphabet frequency of the size of precedence (has been for the State Statistical Analysis), Mr. into an alphabet frequency tables (A )--------( e), (t, a, o, i, n, s, h r), (d, l), (c, u, m, w, f, g, y, p, b), (v, k, j, x, q, z), again close to the mother language calculated frequency and frequency input precedence generate a secret letter to the mother TAB (B), Table 2 by the corresponding relations, use of the letters A to B to replace the letters of the alphabet, when unsuccessful search regression, Here is a retrospective key.
Date : 2025-12-30 Size : 4kb User : rtshen
[AI-NN-PR] Matlabeg DL : 0: 基于 Ma t l a b语言的遗传算法工具箱支持二进制和浮点数编码方式，并且提供了多种选择、交叉、变异的方法。通过具体实例对 Ma t l a b的遗传算法工具箱的用法进行了说明介绍.-The Ge ne t i c Al g or it h m To o l b ox ba s e d on Ma t l a b s u ppo ~s t h e b i na r y a nd f lo a t ， a n d t he r e a r e t he e x c el l e nl o pe r at o r s o f s el e c t i on ，c r os s o v e r a nd mut a t i on i n t he To o l bo x ，t wo e xa mpl e s a b o ut ho w t o us e t h e To o l bo x a r e i n t r o du c ec i n t h i s pa p er。
Date : 2025-12-30 Size : 98kb User : 阿铁
[AI-NN-PR] gridsearch DL : 0: 这是一个libsvm grid的改进,除了可以搜索分类中的C和gamma,还可以搜索小的整数.-This file is a slight modification of grid.py of libsvm. In addition to parameters C, gamma in classification, it searches for epsilon as well. Usage: grid.py [-log2c begin,end,step] [-log2g begin,end,step] [-log2p begin,end,step] [-v fold] [-svmtrain pathname] [-gnuplot pathname] [-out pathname] [-png pathname] [additional parameters for svm-train] dataset
Date : 2025-12-30 Size : 3kb User : quarryhero
[AI-NN-PR] libsvm-svdd-2.89 DL : 0: 有关支持向量机方面的程序:c-svm,v-svm,svr-For support vector machines of the procedures
Date : 2025-12-30 Size : 20kb User : 绿叶
[AI-NN-PR] Fuzzy-Mathematics-and-Applications DL : 0: 　第一章介绍模糊集合的基本概念、建立模糊集合隶属度函数的基本方法以及Matlab模糊工具箱中的函数的应用。第二章判别分析方法包括距离判别、模糊集合的贴近度判别以及最大隶属原则。第三章在模糊矩阵概念的基础上，给出了模糊聚类的基本方法以及模糊C均值聚类的Matlab实现。第四章模糊综合评价，建立了客观性权向量、模糊矩阵的综合评价方法。第五章层次分析法介绍了模糊层次分析的建模方法与应用。第六章在普通线性规划的基础上，引入模糊线性规划、多目标规划的模糊最优解以及模糊线性规划在经济中的应用实例。　　本书主要对象是财经类院校本科生，可以作为数学建模第二课堂的辅导教材，也可供硕士研究生以及科技工作者参考。-The first chapter introduces the basic concepts of fuzzy sets, fuzzy set membership function to establish the basic methods and functions in the Matlab fuzzy toolbox application. Chapter sub-discriminant analysis, including distance Do not, determine closeness of fuzzy sets and the maximum membership principle. The third chapter in the fuzzy matrix based on the concept, given the basic methods of fuzzy clustering and fuzzy C means clustering of the Matlab implementation. S Fuzzy comprehensive evaluation of four chapters, the establishment of the objectivity of the weight vector, fuzzy comprehensive evaluation matrix. Chapter V describes the fuzzy AHP AHP modeling methods and applications. Chapter VI in the general linear Planning based on fuzzy linear programming, multiobjective programming and fuzzy optimal solution of fuzzy linear programming application example in the economy. This book is the main target of Financial College undergraduates, mathematical modeling can be used
Date : 2025-12-30 Size : 3.96mb User : foxway
[AI-NN-PR] C(Forwardreasoning) DL : 0: 动物识别系统实验 1.基于规则产生式系统结构：基于规则的产生式系统一般由规则库（知识库）、综合数据库和推理引擎（推理机）三部分组成，规则库中它的基本组成框架如下图1所示。知识库由谓词演算事实和有关讨论主题的规则构成，综合库又称为上下文，用来暂时存储推理过程中的结论和数据。推理机是用规则进行推理的过程和行为。知识采集系统是领域专家把相关领域的知识表示成一定的形式，并输入到知识库中。解释系统通过用户输入的条件来分析被系统执行的推理结构，并将专家知识以易理解的方式并把知识解释给用户。 2. 简单动物识别产生式系统结构： ⑴ 知识库 ANIMAL的知识库非常小，仅仅包含16条规则（一般说来，一个产生式系统的知识库应包含≥几百条规则）； ⑵ 解空间很小，仅仅包含8个解，或8个最高假设（在一个特定的动物园里，共有虎、豹、长颈鹿、斑马、鸵鸟、企鹅和信天翁、八哥等8种动物）； ⑶ 初始事实集合很小，仅仅包含21个事实，如图中的F1至F21； ⑷ 数据（即事实、证据、断言），知识（即浅层知识，规则）和推理都是精确的，即确定性的； ⑸ 知识库。-Animal Identification System Experiment 1. Rule-based system architecture: rule-based production system by the rule base (KB), a comprehensive database and inference engine (inference engine) consists of three parts, the rule base of its most basic framework is as followsshown in Figure 1. Knowledge is the rules of the facts and the topics discussed by the predicate calculus, the comprehensive library also known as context to conclusions and data is temporarily stored in the reasoning process. The inference engine is the process of inference rules and behavior. Knowledge acquisition system is the domain expert knowledge of the related fields into definite form, and entered into the knowledge base. Interpretation system conditions input by the user the inference structure analysis was performed by the system, and the expert knowledge is easy to understand and explain the knowledge to the user. 2 simple animal identification system structure: (1) Knowledge Base ANIMAL knowledge base is v
Date : 2025-12-30 Size : 951kb User : 六沦
[AI-NN-PR] lunwen DL : 0: 新一代高性能无人机飞控系统的研究与设计张小林赵宇博范力思-I n o r de r t o cau se t he U A V f lig ht co nt r o l sy st e m has t he f o r mida ble da t a- ha ndling ca pa cit y , t h e lo w po we r lo ss , t he st r o ng f le x ibilit y an d a hig he r int e g r at io n r a t e, pr o po sed o ne kind of t e chn ol og y ba sed on SO P C w hic h ca n so lv e t hes e p r ob lem s o n U A V f lig ht co n t r o l sy st e m. T r a nsf e r s m any N io s so f t pr o c ess o r . A lt e r a br in gi ng t he I P co r e a s w el l as t he per ip her y ha r dw a r e cir c uit . on e kind o f h ig h per f o r man ce f lig ht co nt r o l sy st em h as be en de sig ned. Co mpa r e s w it h t he t r a diti on al U A V co nt r o l sy s te m, t his o ne hav e ve r y st r o ng dat a handl ing capa cit y , t h e sma ll v o lume a nd lo w po w e r lo s s. T he a ct ua l fl ig ht r esul t indic at e d : Ea ch m odu la r de sig n is r ea so nab le, t he o ve r al l sy st em mo v e ment is st a ble. T his sy st e m ca n b e ser ve d a s t he ne x t g ene r
Date : 2025-12-30 Size : 606kb User : 天下