fuzzy name matching algorithm

This paper illustrates the method of thinkphp fuzzy matching query with multiple fields. Share to everyone for your reference, specific as follows: Foreword: Sometimes the query matches more than one field. such as query address, the address is composed of several fields. There are provinces, cities, districts and so on, as well as detailed address. How do you inquire at this time? To implement the same q

element containing the specified string $("li:contains ('"+Index+"')"). prependto (parent). addclass (' on'); $("p:contains ('"+Index+"')"). Parent (). prependto (parent). addclass (' on'); }); }); Script>Head>Body> Divclass= "searchdiv">I want to search:inputtype= "text"ID= "index"/> ul> Li>Zhengzhou's Man-moP>ZzdwwP>Li> Li>I'm from Xinxiang.P>WlzxxsP>Li> Li>My alma mater is Zhongyuan Institute of TechnologyP>WdmxszygxyP>Li>

# with contains, look for the page where the Style property value contains all the DIV elements with the keyword sp.gif, where the @ can be followed by any property name of the element.Self.driver.find_element_by_xpath ('//div[contains (@style, "Sp.gif")] '). Click ()# with Start-with, look for a DIV element with the style attribute starting with position, where the @ can be followed by any property name of

, String t) { char[] s = S.tochararray (); char[] T = T.tochararray (); int lenS = s.length; int lent = T.length; int I, j;//i traversal s,j traversal T for (i = 0; I Analysis of time complexity The time complexity analysis of naive pattern matching algorithm is as follows: (n is the main string length, M is the pattern string length) situation

String Matching brute force algorithm and string matching KMP Algorithm Statement: Let's take a look at the network logs of Ruan Yifeng to explain the KMP algorithm of strings. All the images in this article are referenced in this log. In the previous written test, I encount

Reload method matching algorithm and reload Matching Algorithm (2.3.1 supplementary information)Extensive read Java overload resolution-- Overload method Matching AlgorithmAs follows: (1) Find all the methods that can be called. The method that can be called means that the

A small algorithmic problem, the topic title. What do you mean? is a very long pattern string such as "432a5234b5664c3243454", and then give a target string "ABC", as long as a string of strings in the pattern of colleagues containing each element of the target string can be. Requirements are very low. It is very easy to make a violent match, but the time complexity of the brute-force matching algorithm is

* x character string, if yes, the position of the first character of the substring in * y is returned.But you didn't clarify the problem. For example, the preBmBc and memcmp functions are not defined in the program you gave. I guess they have never been able to guess their exact purpose for a long time. I guess your teacher mainly asks you to implement these two functions ..If you can give a detailed explanation of the problem .. I can continue to help you think about it ..It is indeed a diffic

Main topic:There are N1 bulls and N2 cows, which give the m pair relationship between male and female, and the maximum number of matches is obtained. Data range: 1 Algorithm discussion:First reaction km directly on, the second reaction, KM is O (n^2 * M), will t become a dog.The second reaction is to see how everyone is doing it. Later found a name called Hopcroft-carp the maximum

Generalized Hough transformation is a global feature-contour gradient, but can also be seen as the entire contour of each point position and gradient are characteristics, each point of recognition has contributed to, with a visual vote, see how many votes to determine whether to identify the object.http://blog.csdn.net/cy513/article/details/4285579deep analysis of http://blog.csdn.net/cy513/article/details/4414352 Sift/surf algorithm--on the subtlety

Sift,the scale invariant Feature Transform, the invariant feature transform is an effective method to detect the uniqueness of images, to translate, rotate, scale and even affine transformations (such as taking pictures from different angles) to maintain invariant image local features. It can be easily applied to image matching applications, such as target detection and recognition, or the calculation of geometric transformations between images.The

Ababa Ababa Ababa Ababa Ababa J=0J=0 j=1 j=2 j=3 i=9 16th trip: Ababcababa Ababa j=4 (matching success) Code implementation: int Bfmatch (char *s,char *p) { int i,j; i=0; while (I In fact, in the above matching process, there are a lot of comparisons are superfluous. On the sixth trip, I can stay the same, with a J value of 2, when the fifth trip fails. Because in the

the augmentation road. The specific operation is, um. Pull Lang withNote: The following transfer from http://blog.csdn.net/dark_scope/article/details/8880547The Hungarian algorithm was proposed by the Hungarian mathematician Edmonds in 1965, hence the name. The Hungarian algorithm is based on the idea of sufficiency proof in Hall theorem, it is the most common

Sift is a very classical algorithm for image matching, but very complicated, want to own C or C + + implementation is very troublesome, if just use, there are some foreign high maintenance of SIFT library, the early stage as long as they can call, the key is to be familiar with the general flow, the SIFT library has an understanding, The exact work is done by simply calling the function. Match effect: Sift

PHPclassimage_blur{function Gaussian_blur ($srcImg, $savepath=NULL, $savename =NULL, $blurFactor =3) {$gdImageResource=$ This-Image_create_from_ext ($SRCIMG); $SRCIMGOBJ=$ This-Blur ($gdImageResource, $blurFactor); $temp=PathInfo ($SRCIMG); $name= $temp ['basename']; $path= $temp ['dirname']; $exte= $temp ['extension']; $savename= $savename?$savename: $name; $savepath= $savepath?$savepath: $path; $savefile=

A represents a region node, and S represents a site junction.Problem Description: The existing jstree contains all the node information (including the Region node and site node) in the left figure, need to do input site name fuzzy query, display query subtree results such as the right imageResolution Policy:1, the first fuzzy query the site region node A5,a6,a4,

(Note: This article references from P.-y.leeanda.m.k.cheng, "Hal:a faster Match algorithm", IEEE Trans. Knowledge and Data eng.,vol.14,no.5,sept./ Oct. 2002.) HAL: Fast matching algorithm one, Introduction The generation system of forward inference has been applied in various fields. The basic structure of these production systems is divided into three parts. The

First, you need to understand the BF brute force matching algorithm. This algorithm sets a pointer for each string, and then the two pointers are moved back at the same time. If there is any mismatch,The primary string pointer returns to the next position before the start and backward shift, and the pattern string pointer returns to the beginning.. To compare th

Introduction to the KMP algorithmThe full name of the KMP algorithm is called Knuth-morris-pratt algorithm.The string being searched is called the main string, and the strings to be searched are called pattern strings.We know the naïve pattern matching algorithm: http://blog.csdn.net/chfe007/article/details/43448655 is

Transfer a foreigner's algorithm, good and easy to use, multiple extensions can also be processed, such as Aaa.doc.bak ---use demonstration------------------- if (Filenamematch ("*.exe", "filename.exe") = = 1) { Filename.exe Matching *.exe structure } Else { does not match } ---function is implemented as follows------------------- int Filenamematch (char *pat, char *