Processing

Please wait...

Settings

Settings

Goto Application

1. WO2020068025 - A METHOD OF OPERATING A SYSTEM FOR MAKING DIFFICULT DECISIONS USING ARTIFICIAL INTELLIGENCE MEANS

Publication Number WO/2020/068025
Publication Date 02.04.2020
International Application No. PCT/UA2019/000030
International Filing Date 11.03.2019
Chapter 2 Demand Filed 18.11.2019
IPC
G06N 3/08 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06N 5/02 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
5Computer systems using knowledge-based models
02Knowledge representation
G06N 20/00 2019.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
G06N 20/10 2019.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
10using kernel methods, e.g. support vector machines
CPC
G06K 9/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06N 20/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
G06N 20/10
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
10using kernel methods, e.g. support vector machines [SVM]
G06N 3/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06N 5/02
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
5Computer systems using knowledge-based models
02Knowledge representation
Applicants
  • НЕГОДЮК, Александр Васильевич NEHODIUK, Aleksandr Vasylevych [UA]/[UA]
Inventors
  • НЕГОДЮК, Александр Васильевич NEHODIUK, Aleksandr Vasylevych
Priority Data
u 2018 0970527.09.2018UA
Publication Language Russian (RU)
Filing Language Russian (RU)
Designated States
Title
(EN) A METHOD OF OPERATING A SYSTEM FOR MAKING DIFFICULT DECISIONS USING ARTIFICIAL INTELLIGENCE MEANS
(FR) PROCÉDÉ DE FONCTIONNEMENT DE PRISE DE DÉCISIONS COMPLEXES PAR DES MOYENS D’INTELLIGENCE ARTIFICIELLE
(RU) СПОСОБ РАБОТЫ СИСТЕМЫ ПРИНЯТИЯ СЛОЖНЫХ РЕШЕНИЙ СРЕДСТВАМИ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА
Abstract
(EN)
A method of operating a system for making difficult decisions using artificial intelligence means, which includes a procedure for learning and forming a vector (signal) in the form of a code sequence, and which constitutes decision-making by a system, wherein the system visualizes an image of information data and a machine learning process is used for purposes of learning. Using the system, information data or grouped knowledge are/is accommodated at the vertex (1) of the vector, and their cause-effect links are arranged in space using a command processor and vertex shader.
(FR)
Le procédé de fonctionnement de prise de décisions complexes par des moyens d’intelligence artificielle comprend une procédure d’apprentissage et de formation de vecteur (signal) sous la forme d’une séquence de codes qui se présent comme une prise de décisions par le système dans lequel on visualise l’affichage de données d’informations et on utilise un procédé d’apprentissage machine. Les données d'informations ou les connaissances groupées sont disposées au moyen du système sur le sommet (1) du vecteur et leurs liens cause à effet sont disposés dans l’espace au moyen d’un processeur de commande et d'un nuanceur de sommets.
(RU)
Способ работы системы принятия сложных решений средствами искусственного интеллекта, включающий процедуру обучения и формирования вектора (сигнала) в виде кодовой последовательности, представляющий собой принятие системой решения, где системой визуализируют отображение информационных данных и в качестве обучения используют процесс машинного обучения. Информационные данные или сгруппированные знания с помощью системы размещают на вершине (1) вектора, а их причинно-следственные связи размещают в пространстве с помощью командного процессора и вершинного шейдера.
Latest bibliographic data on file with the International Bureau