118 results about "Match rate" patented technology

A Hamming neural network circuit which can be programmed and expanded is disclosed. The Hamming neural network includes an I/O circuit for inputting and outputting a plurality of standard patterns. A bi-directional transmission gate array is connected to the I/O circuit and controlled by a programming signal for transmitting the standard patterns. A plurality of standard pattern memory units is connected to the bi-directional transmission gate array for storing the plurality of standard patterns respectively. An address decoder is connected to the plurality of standard pattern memory units for addressing one of the plurality of standard pattern memory units. A plurality of pattern matching calculation circuit units are respectively connected to the plurality of standard pattern memory units for generating a plurality of matching rates between a to-be-recognized pattern and the plurality of standard patterns. An expandable matching rate comparing circuit is provided for comparing and sorting said plurality of matching rates.

The invention discloses a product recommending system and method. The method includes the steps that a specified user label of a current user is extracted successively; a matched product of the specified user label is obtained successively; the weighted proportion of all the user labels of the current user and the weighted proportion of all product labels of the matched product are acquired; one user label is read successively from all the user labels; if the read user labels exist in the product labels, the matching rate of the read user label is calculated; the matching rates of all the read user labels are added, so that the matching rate of the matched product is acquired; when the matching rates of all the matched products of the specified user label are calculated, the next specified user label is extracted; when all the specified user labels are calculated, the final matching rates of all the matched products are figured out; a specified number of matched products are selected to be recommended to user equipment according to the final matching rates of all the matched products. By means of the product recommending system and method, accurate product recommendation information can be acquired.

In a check processing system, a multi-pass merging process is used to compare the originally scanned check data with subsequently scanned check data in a repetitive manner according to multiple match profiles. This process allows a user to begin with a very strict match profile in a first pass and use a less strict match profile on each subsequent pass. All previous matches are remembered so that they will not be matched with unlike items in any subsequent pass. This multiple pass merging process increases the matching rate and reduces mismatch errors.

The invention provides an intelligent recommending method for service commodities. The method comprises the following steps: a) original user data of a user end and merchant data of a merchant end areobtained; b) the obtained original user data and the obtained merchant data are cleaned, and structural data can be obtained; c) the structural data is input into the following four independently operating engines for calculation, and therefore recommended commodities can be obtained; d) all the recommended commodities obtained via the calculation of the four independently operating engines in step c) are subjected to duplicate removing operation for the same user, probabilities of the user conducting operations on the recommended commodities after the duplicate removing operation are calculated, and the commodities are ranked in a descending order of probabilities; e) the recommended commodities are adjusted after the duplicate removing operation and the ranking operation in step d), andthe adjusted recommended commodities are displayed on the user end. The intelligent recommending system provided in the invention can be used for maximizing resource matching rates.

A translation memory system enabling the user to not only narrow down the view range of search result, but also view a surrounding context of a retrieved text. Stored parallel texts include sentence-class and segment-class parallel texts. Parallel texts relevant to a given input text are retrieved and subjected to calculation of match rates with respect to the input text. A downward link is then added to each retrieved sentence-class parallel text, while an upward link is added to each retrieved segment-class parallel text. A search result screen shows a best matching parallel text with an expand button and/or a shrink button. The expand button causes the current parallel text to be replaced with an upper-class parallel text pointed at by a corresponding upward link. The shrink button causes the current parallel text to be replaced with a lower-class parallel text pointed at by a corresponding downward link.

The invention provides a method and a system for identifying news page attributive characters. The method includes: respectively extracting header information and main body information from captured news pages; respectively analyzing the header information and the main body information and calculating matching rate of the header information and the main body information according to header information analysis data and main body information analysis data; judging the attributive characters of the news pages according to the matching rate of the header information and the main body information. The method has the advantages that the attributive characters of the news pages can be identified, the attributive characters reflect relevance of the header information and the main body information of the news pages, and 'junk' webpages can be identified.

The invention discloses a method for calculating remanufactured part environmental loss based on a back propagation (BP) neural network. The method comprises the following steps of: (1) acquiring a measured part, wherein values of remanufacturing process parameters which influence the measured part serve as detection data; (2) establishing an error BP neural network model according to the detection data which are normalized; (3) training and testing the error BP neural network model, if an error is smaller than an error threshold, executing the step (4), if the error is not smaller than the error threshold, continuously training and testing the error BP neural network model, and finishing process until the number of iterations reaches preset number and the error is not smaller than the error threshold; (4) checking a network by using a second part of data, judging whether the error BP neural network model meets a requirement on matching rate, if so, executing the step (5), and otherwise, executing the step (3); and (5) inputting actual detection data of a remanufactured part into the error BP neural network model which meets the requirement on the matching rate, and predicting the environmental loss.

The present invention relates to a pulse driving apparatus for minimising an asymmetric image between long-term potentiation (LTP) and long-term depression (LTD) in a hardware neural network, and a method therefor; and can minimise asymmetry between the LTP process and the LTD process, thereby improving a match rate of actual results by separately performing a first operation that performs on the LTP process, and a second operation that performs the LTP process and the LTD process.

An objective of the present invention is to provide a medicine compounding system whereby it is possible, while using a medicine dispensing device, to avoid the trouble and time involved in compounding medicine such as in a task of organizing medicine boxes, as well as errors in compounding. A medicine compounding system (10) comprises a plurality of medicine box dispensing devices (30) wherein medicine for dispensing is prepared in advance, said medicine box dispensing devices (30) being capable of dispensing the medicine in accordance with prescription data which is outputted from an upper level control device (20). The medicine compounding system (10) compounds a medicine which is to be prescribed to a patient by gathering the medicines which are dispensed from the medicine box dispensing devices (30). In the medicine compounding system (10), the types of medicines which are stored in each of the medicine box dispensing devices (30, 30) is ascertained by the upper level control device (20), and the medicine box dispensing device (30) with the highest match rate between the medicine to be prescribed and the stored medicine type is assigned priority in selection as the medicine box dispensing device for dispensing the medicine relating to the prescription.

The invention discloses a method for measuring ore matching efficiency of an integrated furnace charge of a blast furnace. The method comprises the following steps: firstly, measuring a total characteristic value Sn of the drop performance of mixed blast furnace charge of each ore matching rate by using an iron ore soft melting drop test device, and then measuring a total characteristic value sn of the drop performance of sintered ore used by each mixed blast furnace charge; finally measuring the ore matching efficiency etan of the ore matching rate of production of each blast furnace; comparing the ore matching efficiency of the ore matching rate under the condition that other metallurgical performances of the integrated furnace charge of the blast furnace is kept appropriate. By adopting the method, calculation of the ore matching efficiency can be achieved before implementation of the ore matching rate of production of the blast furnace; the ore matching efficiency can be adjusted when being not good; the production loss is avoided; the ore matching efficiency can be accurately defined; comparison of the ore matching efficiencies of all ore matching rates can be achieved; the ore matching rate is optimized; reasonable demands proposed by the blast furnace charge structure are fully met before the ore matching rate of the production of the blast furnace comes into service.

The invention discloses a PDF (Portable Document Format) file analysis method, device and equipment and a computer readable storage medium, and the method comprises the following steps: when receivinga to-be-analyzed PDF file, identifying a keyword carried by the to-be-analyzed PDF file, and determining the content type of the to-be-analyzed PDF file according to the keyword; Calling each analysis template corresponding to the content type, respectively matching the to-be-analyzed PDF file with each analysis template, and determining a target analysis template according to the matching rate of the obtained to-be-analyzed PDF file and each analysis template; And analyzing the PDF file to be analyzed according to an analysis rule in the target analysis template to generate analysis data. According to the scheme, the PDF file to be parsed is parsed through the parsing rule in the target parsing template matched with the PDF file to be parsed, the integrity of data parsing in the PDF fileto be parsed can be ensured, the pertinence is high, and the parsing efficiency is improved.

A well breakpoint auto-recognition method is intended mainly to solve the problem that manual stratigraphic correlation recognition method of well breakpoints has low efficiency, low precision and high difficulty and comprises the steps: recognizing fault characteristics, establishing a fault and logging curve rock-electric relation, and using a curve form recognition technique to improve interpretation precision, thus forming the method of using a logging curve to automatically recognize well breakpoints. The method has the advantages that one-off match rate of breakpoint position reaches 80%, non-breakpoint match rate reaches 95% and above, the technical limit that the original method cannot effectively recognize breakpoints within 2 m is broken through, and working efficiency is increased by 40 times and above.

The invention discloses a virtual machine access control system and method based on cloud computing environment. The method comprises the steps of judging whether a mounting protocol of a virtual machine conforms to a mounting protocol of a physical resource server or not; judging whether a resource pool required by a command sent by the external virtual machine exists in a storage pool or not; if the resource pool exists, opening and decrypting the resource pool inside the storage pool; if the resource pool does not exist, creating and encrypting the required resource pool; creating the required resource pool and a corresponding safety sign, judging whether the safety sign of the resource pool conforms to the matching principle or not, and when the safety sign of the resource pool conforms to the matching principle, judging whether the attribute of the safety sign of the resource pool needs to be modified or not; opening and decrypting the existing resource pool; when decryption succeeds, judging whether the safety sign of an access process of the external virtual machine is matched with the decrypted safety sign or not, and calling a result output module. According to the virtual machine access control system and method based on the cloud computing environment, a host machine and the virtual machine can be isolated from each other according to the matching rate of the signs, the resource pool encryption method and the mounting protocol of the storage server.