Cognitive attribute selection method and system, category attribute determination method and system and storage medium

A technology for category attributes and determination methods, applied in character and pattern recognition, complex mathematical operations, instruments, etc., can solve problems such as low cognitive efficiency of target category attributes, save computing time and cost, improve cognitive efficiency, and avoid low efficiency. effect of operation

Pending Publication Date: 2022-02-25
XI AN MIKESI INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the technical problem of low cognitive efficiency of target category attributes caused by using the values ​​of all attributes of cognitive targets to filter sample sets in the prior art when determining the category attributes of cognitive targets

Method used

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  • Cognitive attribute selection method and system, category attribute determination method and system and storage medium
  • Cognitive attribute selection method and system, category attribute determination method and system and storage medium
  • Cognitive attribute selection method and system, category attribute determination method and system and storage medium

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Embodiment 1

[0053] Embodiment 1 of the present invention provides a method for selecting cognitive attributes based on a sample set, such as figure 1 As shown, the specific methods include:

[0054] Step 1. Obtain the values ​​of each attribute in the sample set.

[0055] Step 2. Calculate the probability of each attribute in the sample set taking its corresponding value, specifically:

[0056]

[0057] in, When the value of attribute U in the sample set is U j when the probability of The value of attribute U in the sample set is U j N is the total number of samples in the sample set.

[0058] Step 3. Calculate the additional information obtained when each attribute in the sample set takes its corresponding value. The additional information is determined according to the first information amount and the second information amount. The first information amount is the comprehensive information amount of the sample set, and the second The amount of information refers to the amount ...

Embodiment 2

[0071] Embodiment 2 of the present invention provides a method for determining the attribute of a cognitive target category based on a sample set. The method includes the above-mentioned method steps in Embodiment 1 of the present invention, and further includes the following steps, such as figure 2 Shown:

[0072] Using a method for selecting cognitive attributes based on a sample set in Embodiment 1 of the present invention to select cognitive attributes;

[0073] Obtain the value of the cognitive attribute of the cognitive target;

[0074] The value of the cognitive attribute of the cognitive target is used to screen the sample set to obtain a sample subset, and the category attribute of the cognitive target is determined by the category corresponding to the sample in the sample subset.

[0075] Specifically, in Embodiment 2 of the present invention, a sample set-based method for determining category attributes of cognitive targets includes the method steps in Embodiment ...

Embodiment 3

[0080] Embodiment 3 of the present invention shows a specific implementation method of the present invention in machine cognition technology in the field of artificial intelligence. Embodiment 3 of the present invention assumes that a certain machine cognition application scenario is: the category attribute of a certain cognition target needs to be determined. Assuming that the known sample set contains a total of five samples, each sample has category attributes, and the values ​​of all attributes of each sample in the sample set are known by default, and the attribute values ​​of each attribute of the cognitive target can be passed through the existing Technology is available.

[0081] Such as image 3 As shown, these five samples belong to three categories, and the corresponding category attributes are respectively recorded as category 1, category 2 and category 3. Each sample has attribute X and attribute Y, and the attribute X and attribute Y of each sample The value of ...

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Abstract

The invention discloses a cognitive attribute selection method and system, a category attribute determination method and system and a storage medium. The cognitive attribute selection method comprises the following steps: obtaining values of attributes in a sample set; calculating the probability of taking each value corresponding to each attribute in the sample set; calculating extra information amount obtained when each attribute in the sample set takes each value corresponding to the attribute; determining the average entropy subtraction of each attribute in the sample set according to the probability and the additional information amount; and taking the attribute corresponding to the maximum average entropy subtraction in the average entropy subtraction as the selected attribute. The attribute corresponding to the maximum average entropy subtraction is taken as the preferable cognitive attribute, and the most information about the category attribute of the cognitive target can be obtained through the value screening sample set of the preferable cognitive attribute of the cognitive target, so that the category attribute of the cognitive target can be determined as soon as possible, and the cognitive efficiency of the category attribute of the cognitive target is improved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method for selecting a cognitive attribute based on a sample set, a method for determining an attribute of a cognitive target category, a system, and a storage medium. Background technique [0002] The field of artificial intelligence technology often encounters the problem of target classification. The core of target classification is to judge which known sample class a certain target belongs to based on certain characteristics of samples in a known sample set. The essence of this problem is to determine the category attribute, and then divide it into a known sample class in the sample set according to the category attribute of the target, so as to complete the task of target classification. Target classification has been widely used in various technologies, such as image recognition, handwritten digit recognition, speech recognition, etc. that we use e...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F17/18
CPCG06F17/18G06F18/2113G06F18/2415
Inventor 邓少冬
Owner XI AN MIKESI INTELLIGENT TECH CO LTD
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