发明名称 NEURAL NETWORKING SYSTEM AND METHODS
摘要 A method/apparatus/system for generating a request for improvement of a data object in a neural network is described herein. The neural network contains a plurality of data objects each made of an aggregation of content. The data objects of the neural network are interconnected based on one or several skill levels embodied in the content of the data objects via a plurality of connecting vectors. These connecting vectors can be generated and/or modified based on data collected from the iterative transversal of the connecting vectors by one or several users of the neural network.
申请公布号 US2016335538(A1) 申请公布日期 2016.11.17
申请号 US201615223751 申请日期 2016.07.29
申请人 Pearson Education, Inc. 发明人 Spagnola Perry M.
分类号 G06N3/08 主分类号 G06N3/08
代理机构 代理人
主权项 1. A method of maintaining a connecting vector comprising: generating on the processor a connecting vector linking a first data object comprising first content to a second data object comprising second content, the connecting vector comprising a direction identifying a prerequisite relationship between the first and second data objects and a strength indicating a likelihood of a user successfully traversing the connecting vector; receiving at the processor an input indicative of the traversal of the connecting vector; determining on the processor a value according to a Boolean function, wherein the value comprises a first value when the input indicates a successful traversal and wherein the value comprises a second value when the input indicates an unsuccessful traversal, and strengthening the connecting vector when the first value is determined.
地址 New York NY US
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