Software Systems for Structural Optimization

1993 ◽  
Keyword(s):  
Structural Optimization ◽  
Software Systems

Basic Study on Performance Comparison of Structural Optimization Software Systems

2014 ◽  
Vol 38 (12) ◽  
pp. 1403-1413 ◽  
Author(s):  
Wook Han Choi ◽  
Cheng Guo Huang ◽  
Gyung-Jin Park ◽  
Tai-Kyung Kim
Keyword(s):  
Structural Optimization ◽  
Performance Comparison ◽  
Software Systems ◽  
Basic Study ◽  
Optimization Software

Comparison study of some commercial structural optimization software systems

2016 ◽  
Vol 54 (3) ◽  
pp. 685-699 ◽  
Author(s):  
Wook-han Choi ◽  
Jong-moon Kim ◽  
Gyung-Jin Park
Keyword(s):  
Structural Optimization ◽  
Software Systems ◽  
Comparison Study ◽  
Optimization Software

DOCUMENTATION OF SOFTWARE SYSTEMS

2014 ◽  
pp. 240-246
Author(s):  
V. Herwig ◽  
Keyword(s):  
Software Systems

Methods of parallel computing for multilevel fuzzy Takagi – Sugeno systems

2016 ◽  
pp. 141-149
Author(s):  
S.V. Yershov ◽  
◽  
R.М. Ponomarenko ◽  
Keyword(s):  
Dynamic Models ◽  
Fuzzy Inference ◽  
Knowledge Bases ◽  
Comparative Characteristic ◽  
Software Systems ◽  
Scientific Papers ◽  
Speed Up ◽  
Diagnostic Software ◽  
Takagi Sugeno

Parallel tiered and dynamic models of the fuzzy inference in expert-diagnostic software systems are considered, which knowledge bases are based on fuzzy rules. Tiered parallel and dynamic fuzzy inference procedures are developed that allow speed up of computations in the software system for evaluating the quality of scientific papers. Evaluations of the effectiveness of parallel tiered and dynamic schemes of computations are constructed with complex dependency graph between blocks of fuzzy Takagi – Sugeno rules. Comparative characteristic of the efficacy of parallel-stacked and dynamic models is carried out.

Structural Optimization of Silicon for High Efficiencies of Light Emission

2018 ◽  
Vol 138 (4) ◽  
pp. 375-380
Author(s):  
Yuma Sugishita ◽  
Keisuke Inukai ◽  
Keishiro Goshima
Keyword(s):  
Structural Optimization ◽  
Light Emission

A Literature Review Study of Software Defect Prediction using Machine Learning Techniques

2018 ◽  
Vol 6 (6) ◽  
pp. 300 ◽  
Author(s):  
Feidu Akmel ◽  
Ermiyas Birihanu ◽  
Bahir Siraj
Keyword(s):  
Machine Learning ◽  
Software Metrics ◽  
Quality Standard ◽  
Machine Learning Techniques ◽  
Software Systems ◽  
Health Care Insurance ◽  
Software Defect ◽  
Learning Techniques ◽  
Software Product

Software systems are any software product or applications that support business domains such as Manufacturing,Aviation, Health care, insurance and so on.Software quality is a means of measuring how software is designed and how well the software conforms to that design. Some of the variables that we are looking for software quality are Correctness, Product quality, Scalability, Completeness and Absence of bugs, However the quality standard that was used from one organization is different from other for this reason it is better to apply the software metrics to measure the quality of software. Attributes that we gathered from source code through software metrics can be an input for software defect predictor. Software defect are an error that are introduced by software developer and stakeholders. Finally, in this study we discovered the application of machine learning on software defect that we gathered from the previous research works.

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