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.

主权项

1. A method of adding a data object to a multi-dimensional network, the method comprising:
identifying a first data object comprising first content, wherein the first data object is connected within a data object network based on a common subject of the data object network; determining a non-subject skill level of the first data object that is independent of the common subject of the data object network; adding a value indicative of the non-subject skill level of the first data object; identifying a second data object comprising second content independent of the common subject of the data object network and having a non-subject skill level lower than the non-subject skill level of the first data object; identifying a third data object having a non-subject skill level higher than the non-subject skill level of the first data object; and creating a non-subject object network by generating a second learning vector extending from the second data object to the first data object and a third learning vector extending from the first data object to the third data object.