Scientific and Technological Issues of Using Artificial Intelligence and Neural Network Data Processing Technologies in the Automated Systems of the Strategic Missile Forces

2021 ◽  
Vol 30 (002) ◽  
pp. 127-133
Author(s):  
Yu.A. MATVIYENKO
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Data Processing ◽  
Network Data ◽  
Automated Systems ◽  
Processing Technologies

Dual-emission CdTe/AgInS2 photoluminescence probe coupled to neural network data processing for the simultaneous determination of folic acid and iron (II)

2020 ◽  
Vol 1114 ◽  
pp. 29-41 ◽  
Author(s):  
Rafael C. Castro ◽  
David S.M. Ribeiro ◽  
Ricardo N.M.J. Páscoa ◽  
José X. Soares ◽  
Sarmento J. Mazivila ◽  
...  
Keyword(s):  
Neural Network ◽  
Folic Acid ◽  
Data Processing ◽  
Simultaneous Determination ◽  
Network Data ◽  
Dual Emission

scholarly journals Prediksi Tingkat Kelancaran Kredit BSU BMT Tunas Harapan Syari’ah Pringgasela Kabupaten Lombok Timur Menggunakan Algoritma Neural Network

2021 ◽  
Vol 4 (2) ◽  
pp. 205-216
Author(s):  
Amri Muliawan Nur ◽  
◽  
Imam Fathurrahman ◽  
Yahya Yahya ◽  
◽  
...  
Keyword(s):  
Neural Network ◽  
Data Mining ◽  
Data Processing ◽  
Statistical Data ◽  
Network Data ◽  
Mining Method ◽  
The Neural Network ◽  
Using Data ◽  
Data Processing Methods

The role of credit in a cooperative is very important. With the credit can be a source of profit for the cooperative. The cooperative was founded with the aim of prospering its members. One of the advantages is that cooperative members can apply for credit loans. To approve the proposed loan, it is necessary to analyze the credit submitted by the members. This has become one of the difficulties for several cooperatives, one of which is KSU BMT Tunas Harapan Syari'ah which is located in thePringgasela village, Pringgasela District, East Lombok Regency. The problem that often arises is that the analysis conducted is often incorrect, resulting in a prolonged bad credit in installment payments. The reason is that cooperatives always use statistical data which is sometimes inaccurate because there is no processing using data processing methods. Therefore, the neural network data mining method can be used as a tool to analyze which customers are problematic and not problematic. From the results of the research that has been done, it produces an accuracy of 96.19% and an AUC of 0.976

scholarly journals A Review on Different Kinds of Artificial Intelligence Solutions in TCM Syndrome Differentiation Application

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yujuan Song ◽  
Bin Zhao ◽  
Jun Jia ◽  
Xuebing Wang ◽  
Sibai Xu ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Theoretical Background ◽  
Syndrome Differentiation ◽  
Network Data ◽  
Medicine Research ◽  
Current Context ◽  
Tcm Syndrome ◽  
Artificial Intelligence Application ◽  
Intelligence Application

In 1979, the first computer program for TCM diagnosis was launched, although this time was about 30 years after artificial intelligence (AI) came into being and began to be widely used. However, an endless stream of artificial intelligence methods was applied in the field of Chinese medicine research, expert system, artificial neural network, data mining, and multivariate analysis; not limited to what was mentioned, this study tried to make a review on application of AI to TCM syndrome differentiation, while summarizing the artificial intelligence application of TCM syndrome differentiation in the current context. It also provides a theoretical background for the upcoming fully automated research on TCM syndrome differentiation and diagnosis robot.

Sign in / Sign up

Export Citation Format

Share Document