Titlebook: Computational Statistics and Mathematical Modeling Methods in Intelligent Systems; Proceedings of 3rd C Radek Silhavy,Petr Silhavy,Zdenka P

打折

Structuring a Multicriteria Model to Optimize the Profitability of a Clinical Laboratory,eys answered by twenty laboratory managers in Ceara state. By employing the M-MACBETH software to analyze data, satisfactory results were obtained as regards the profitability optimization model of laboratories. Therefore, this study concludes that the computational results were promising.

growth-factor

法律的瑕疵

Application of Value Set Concept to Ellipsoidal Polynomial Families with Multilinear Uncertainty Ste sets of the illustrative ellipsoidal polynomial family with multilinear uncertainty structure are plotted and analyzed. It is shown that the boundaries of the value set need not to mapped only from the boundaries in the parameter space but possibly also from the internal points.

FLAGR

Charitable

2194-5357 the Computational Methods in Systems and Software 2019 (CoM.This book presents real-world problems and exploratory research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of the intelligent systems...This book constitutes the refe

allergen

Mammal

Water Footprint Assessment in Supply Chainsr research sources have been done in two ways: using the average from other sources or adding an operator from the RapidMiner application to the processes. Both approaches have generated good results and can be considered as viable alternatives in collaborative data mining processes.

甜得發(fā)膩

Static Compensator for Decentralized Control of Nonsquare Systems,mpensator provides steady state autonomy and unit gain for the control loops. Steady state gain matrix of the controlled system and vector of offsets are sufficient information for the compensator design. Estimation of the gain matrix and offsets from the measured data is also proposed in the paper.

饒舌的人

樹木中

Comparison of Methods for Time Series Data Analysis for Further Use of Machine Learning Algorithms,age. After brief introduction we introduce the nature and character of given data. In following chapters of this paper we introduce used methods and present the results. The whole data analysis was performed in Phyton.