The research and application of the self-learning expert system based on BP network

2005 ◽  
Author(s):  
Li-Jie Liu ◽  
Ya-Dong Wang ◽  
Mao-Zu Guo
Keyword(s):  
Expert System ◽  
The Self ◽  
Bp Network ◽  
Self Learning

scholarly journals The “self-learning query” algorithm for searching scientific publications across specialized search engines

2021 ◽  
Vol 12 (3) ◽  
pp. 3826-3832
Author(s):  
Nikolay V. Kovalev Et.al
Keyword(s):  
Big Data ◽  
Expert System ◽  
Data Management ◽  
Uncertain Data ◽  
The Self ◽  
Scientific Publications ◽  
Search Operation ◽  
Query Algorithm ◽  
Self Learning ◽  
Complicated Task

Typically, a search operation on Big Data is complicated task due to different formats and different nature of the data. To simplify it the user may implement special algorithms to process different data for uncertain criteria. The “self-learning query” algorithm presented in this work allows to search in Big Data either for certain or uncertain search criteria’s with minimum attention from the data programmer. It uses accumulated search statistics as the basis to make the result set more precisely according to the search criteria, so as long the user work with the system as more precise will be the results. The algorithm presented in this work allows data scientists to search for uncertain data and potentially discover results faster by offloading the burdens of data management and provenance to the expert system.

Research on business English autonomous learning based on artificial intelligence and improved BP network model

2020 ◽  
pp. 1-12
Author(s):  
Zijuan Chen ◽  
Ying Lian ◽  
Zhipeng Lin
Keyword(s):  
Artificial Intelligence ◽  
Network Model ◽  
Learning Process ◽  
Learning Model ◽  
The Self ◽  
Autonomous Learning ◽  
Functional Modules ◽  
Business English ◽  
Bp Network ◽  
Self Learning

Due to various factors, the learning process of business English is mostly autonomous learning. However, the traditional autonomous learning model is difficult to effectively improve the learning effect of business English. In order to improve the business English learning model, based on artificial intelligence and improved BP network model, this paper builds a business intelligence autonomous learning system with certain intelligence. Moreover, this paper designs functional modules for the characteristics of business English learners, and combines the self-learning needs to facilitate the processing of structural functions, so that students can complete the operation independently. The system sets up multiple functional modules, conducts guided recommendation learning according to the characteristics of the self-learning process, and combines the feedback system to correct the shortcomings in students’ autonomous learning. Through this system, teachers can perform a variety of operations offline and eliminate restrictions on location and teaching time. In addition, in order to verify the performance of the model, the experimental study was conducted by setting up a control group and an experimental group. The research results show that the model constructed in this paper has good performance.

scholarly journals Artificial Intelligence in Biomedicine: A Legal Insight

BioTech ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 15
Author(s):  
Takis Vidalis
Keyword(s):  
Artificial Intelligence ◽  
Personal Data ◽  
Health Data ◽  
The Self ◽  
Data Handling ◽  
Direct Control ◽  
Eu Legislation ◽  
Attending Physicians ◽  
Self Learning ◽  
The Eu

The involvement of artificial intelligence in biomedicine promises better support for decision-making both in conventional and research medical practice. Yet two important issues emerge in relation to personal data handling, and the influence of AI on patient/doctor relationships. The development of AI algorithms presupposes extensive processing of big data in biobanks, for which procedures of compliance with data protection need to be ensured. This article addresses this problem in the framework of the EU legislation (GDPR) and explains the legal prerequisites pertinent to various categories of health data. Furthermore, the self-learning systems of AI may affect the fulfillment of medical duties, particularly if the attending physicians rely on unsupervised applications operating beyond their direct control. The article argues that the patient informed consent prerequisite plays a key role here, not only in conventional medical acts but also in clinical research procedures.

Das intelligente Instandhaltungssystem/The intelligent maintenance system - An approach for the self-learning structuring of maintenance libraries

2017 ◽  
Vol 107 (07-08) ◽  
pp. 530-535
Author(s):  
T. Miebach ◽  
M. Schmidt ◽  
P. Prof. Nyhuis
Keyword(s):  
Collaborative Research ◽  
The Self ◽  
Research Centre ◽  
Maintenance System ◽  
Intelligent Maintenance ◽  
Product Engineering ◽  
The Right ◽  
Self Learning ◽  
Intelligent Maintenance System

Der Fachbeitrag stellt eine Methode vor, mit der sich Bibliotheken von Instandhaltungsmaßnahmen selbstlernend gestalten lassen. Die „Intelligenz“ solcher Systeme bietet mehrfachen Nutzen, einerseits durch die Auswahl der passenden Instandhaltungsmethode zum richtigen Zeitpunkt, andererseits durch die damit verbundene Erhöhung des kompletten Abnutzungsvorrates. Die Ergebnisse sind im Sonderforschungsbereich 653 „Gentelligente Bauteile im Lebenszyklus – Nutzung vererbbarer, bauteilinhärenter Informationen in der Produktionstechnik“ entstanden.   This article describes a method to design a self-learning maintenance library. The benefit derived from the intelligence of those systems refers to the right choice of maintenance measures at the right time and the enhancement of the whole wear margin. The results are part of the Collaborative Research Centre 653: Gentelligent components in their lifecycle – Utilization of inheritable component information in product engineering.

ANFIS-based Self-learning Expert System for Weapon Target Assignment Problem

2021 ◽  
Author(s):  
Changcheng Wang ◽  
Lisi Chen ◽  
Wencai Li ◽  
Kan Zeng
Keyword(s):  
Expert System ◽  
Assignment Problem ◽  
Target Assignment ◽  
Self Learning

scholarly journals Contemporary approaches to informatization of educational process in higher education in Ukraine

2015 ◽  
Vol 2 ◽  
pp. 322
Author(s):  
Roman Pavliuk
Keyword(s):  
Distance Learning ◽  
Foreign Language ◽  
Educational Environment ◽  
Educational Process ◽  
The Self ◽  
Self Organization ◽  
Educational Institutions ◽  
English Speaking ◽  
Distance Courses ◽  
Self Learning

The article describes the modern approaches to the informatization of educational process in higher educational institutions of Ukraine. The relevance of introducing of and its regulatory framework are investigated and the views of scientists to the definitions of "distance learning" and "information-educational environment" are summarizes. The system of work with students using distance learning courses "Business Foreign Language" and "Modern children's literature English-speaking countries" is shown on the example of BorysGrinchenko Kyiv University (Kyiv, Ukraine). The results of investigation based on a survey of students at the beginning and end of the distance courses work demonstrated that the use of distance learning coursespromotes to the self-organization of the student, improving computer skills, facilitates the process of self-learning.

On the self-learning scheme of Nagy and Shelton

1967 ◽  
Vol 55 (10) ◽  
pp. 1764-1765 ◽  
Author(s):  
Y.C. Ho ◽  
A.K. Agrawala
Keyword(s):  
The Self ◽  
Learning Scheme ◽  
Self Learning
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