| 摘要 |
A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine learning capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive an analysis results from the one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit. |
| 主权项 |
1. A distributed processing network configured to improve processing speeds, the network comprising:
a source device configured to provide groups of data, wherein each of the groups of data is associated with one or several user authors, wherein the groups of data together comprise a processing task; a plurality of independent processing units configured to receive a portion of the processing task, wherein the portion of the processing task comprises one or several of the groups of data, and characterize one or several aspects of the one or several of the groups of data, wherein each of the plurality of independent processing units comprises:
a standards module configured to receive and store an analysis criterion and an analysis guideline, wherein the analysis criteria identifies one or several attributes for identifying a characterization of the one or several of the groups of data, and wherein the analysis guideline identifies one or several rules for application of the analysis criteria; andan analysis module configured to provide a characterization of the one or several of the groups of data according to the analysis criteria and the analysis guideline; and a server communicatingly connected to the source device and the plurality of independent processing units via a network, wherein the server is configured to:
receive a signal encoding the processing task;separate the one or several groups of data from the encoded processing task;generate a signal encoding a first one of the one or several groups of data;send the signal encoding the first one of the one or several groups of data to a first one of the plurality of independent processing units and to a second one of the plurality of independent processing units;receive a first electric signal from the first one of the plurality of independent processing units, wherein the first electric signal comprises an encoded first characterization generated by the first one of the plurality of independent processing units of the first one of the one or several groups of data;receive a second electric signal from the second one of the plurality of independent processing units, wherein the second electric signal comprises an encoded second characterization generated by the second one of the plurality of independent processing units of the first one of the one or several groups of data;retrieve an accuracy parameter, wherein the accuracy parameter contains a first component associated with the first one of the plurality of independent processing units and a second component associated with the second one of the plurality of independent processing units, wherein the first component comprises a norming value that standardizes the first characterization when applied thereto, and wherein the second component comprises a norming value that standardizes the second characterization when applied thereto; andcalculate a combined characterization of the first one of the one or several groups of data based on a combination of the first and second characterizations and the accuracy parameter. |
