Estimating Dynamic Characteristics of Gravel-Tire Chips Mixtures Using Artificial Intelligence Techniques
نویسندگان
چکیده
منابع مشابه
Aerobic Bioprocess Control Using Artificial Intelligence Techniques
This paper deals with the design of an intelligent control structure for a bioprocess of Hansenula polymorpha yeast cultivation. The objective of the process control is to produce biomass in a desired physiological state. The work demonstrates that the designed Hybrid Control Techniques (HCT) are able to recognize specific evolution bioprocess trajectories using neural networks trained specific...
متن کاملCyber-awareness Improvement Using Artificial Intelligence Techniques
The primary contribution of this experiment is the development of a framework on which a variety of multitasking processes can be mapped. A software model named SHOWAN is developed to represent, capture and learn the cyber awareness behavior of a computer process against multiple concurrent threads. At the beginning of the experiment, the examined process outperformed, and tended to manage nume...
متن کاملUsing Artificial Intelligence Techniques in Computer Graphics
The object of this paper is to prove that the use of artificial intelligence techniques in computer graphics can greatly improve the obtained results. Improvements in three areas of computer graphics are presented in the paper: in scene modelling, where declarative modelling techniques can greatly improve the designer’s work ; in scene understanding, where the use of heuristic search and strate...
متن کاملTire Inflation Pressure Estimation Using Identification Techniques
In this research study, one of the most crucial automotive engineering problems is intended to be solved. The necessity of tire pressure monitoring system is beyond doubt. Such systems are now provided relying on expensive sensors. In this study an indirect tire pressure monitoring system is proposed, utilizing identification techniques, which will reduce the cost of monitoring considerably in ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Society of Materials Science, Japan
سال: 2020
ISSN: 0514-5163,1880-7488
DOI: 10.2472/jsms.69.1