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Literature retrieving method using neural network model

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TLDR
In this paper, the authors proposed a method to enable a retrieving user to perform the desired retrieving jobs by using the calculation formulas which are connected to each other by securing the weighted average of the synthesization result containing functions of different types of character with use of parameters.
Abstract
PURPOSE:To enable a retrieving user to perform the desired retrieving jobs by using the calculation formulas which are connected to each other by securing the weighted average of the synthesization result containing functions of different types of character with use of parameters CONSTITUTION:The calculation formulas which are connected to each other by securing the weighted average of the synthesization result containing two functions (f) and (g) with use of parameters alpha1 and alpha2 when a state r3 of a unit (j) of an output layer and a state a1 of a unit (i) of an intermediate layer are calculated Thus the 'distance' can be shown more accurately between a key word group offered by a retrieving user and a key word group assigned previously to the literature Then both functions (f) and (g) having difference types of character compensate the defects with each other A retrieving standard is obtained in response to the level and the purpose of the user by changing the values of both parameters alpha1 and alpha2 Thus the user can retrieve the literature as desired

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Information retrieval system

TL;DR: In this article, the information retrieval system capable of giving the order of priority and specifying the retrieval not including a specific keyword is presented, where keywords and documents are represented by nodes using a keyword network part 12 representing the relation between keywords, a retrieval keyword importance setting part 11 specifying the importance of the retrieval keyword, and information storage part 13 storing information, and the relation of keywords is represented by the weight of the link between nodes to propagate the activity of nodes.