Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Artificial intelligence method and system for machine simulation of learning and working of to-be-simulated target

A technology that simulates goals and artificial intelligence, applied in the field of artificial intelligence, can solve problems such as poor knowledge learning ability

Pending Publication Date: 2020-06-09
厦门驿全智能科技有限公司
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the existing artificial intelligence method for simulating the learning and work of the target to be simulated involves personality issues such as emotion and language habits, and cannot be simulated by deep learning; at the same time, the knowledge learning ability Difference

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Artificial intelligence method and system for machine simulation of learning and working of to-be-simulated target
  • Artificial intelligence method and system for machine simulation of learning and working of to-be-simulated target
  • Artificial intelligence method and system for machine simulation of learning and working of to-be-simulated target

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0086] The artificial intelligence method for machine simulation to be simulated target learning and work provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, the method for training a machine to simulate the target thinking to be simulated through a training program provided by the embodiment of the present invention is as follows:

[0087] 1) Initialize the original deep neural network through the training program; obtain video image data and audio data at different times, different locations or the same location, different scenes or the same scene, and different targets to be simulated or the same target to be simulated.

[0088] 2) Perform target recognition on the video image data, and convert the recognized target entity into text.

[0089] 3) Carrying out voice recognition on the audio data, distinguishing the subject voice and object voice and converting it into text, wherein the subject voice is the wearer's ...

Embodiment 2

[0098] The artificial intelligence method for machine simulation to be simulated target learning and work provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, the method for knowledge learning by simulating a machine through a knowledge learning program provided by the embodiment of the present invention is as follows:

[0099] (1) Establish a computer brain-inspired knowledge base by constructing a program, including a lexicon, a class library, a resource library, and an intelligent information management library, wherein:

[0100] Thesaurus, which is used to store words representing scenes or events in natural language and the parts of speech corresponding to the words;

[0101] The class library is used to store the class basic elements corresponding to the grammatical components of the natural language sentence and the true properties corresponding to the subject and the predicate two logical units composed of the...

Embodiment 3

[0109] The artificial intelligence method for machine simulation to be simulated target learning and work provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, the method for planning the execution path of the machine through path planning provided by the embodiment of the present invention is as follows:

[0110] 1) Construct a multi-layer machine anthropomorphic behavior path planning framework, based on the human-planned behavior pattern, simulate the functions of the target to be simulated, human eyes and human legs, and set up machine global layer path planning, perception layer path planning and execution layer path planning.

[0111] 2) A complete and adjustable trajectory planning algorithm is established, and the trajectory planned by using the algorithm can satisfy the kinematic constraints and environmental constraints of the robot at the same time.

[0112] 3) Establish a dynamic monitoring and recovery beh...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention belongs to the technical field of artificial intelligence. The invention discloses an artificial intelligence method and system for machine simulation of learning and working of a to-be-simulated target. The artificial intelligence system comprises a data acquisition module, a data identification module, a data analysis module, a central control module, a training module, a knowledgelearning module, an execution module, a path planning module, a data storage module, a terminal module and a display module. The thinking mode of a to-be-simulated target is permanently stored through a training module; the method has important application values for research and behavior analysis of a to-be-simulated target and thinking mode recording of an important to-be-simulated target; meanwhile, a knowledge learning module simulates a cognitive model of an objective object and an intelligent mechanism for logical reasoning based on the cognitive model to a computer system through intelligent calculation and judgment of a to-be-simulated target by a manual method. Intelligence function learning knowledge of a to-be-simulated target is simulated by a machine, and a brain-like artificial intelligence service platform is formed.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to an artificial intelligence method and system for learning and working of a machine simulating a target to be simulated. Background technique [0002] Artificial Intelligence (Artificial Intelligence), the English abbreviation is AI. It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00G06K9/00G10L15/26G10L15/18G10L13/04H04L29/08
CPCG06N20/00G10L15/1822H04L67/025H04L67/125G06V20/00
Inventor 叶奕宏
Owner 厦门驿全智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products