Binary vs. ternary reactivity ratios: Appropriate estimation procedures with terpolymerization data
نویسندگان
چکیده
منابع مشابه
AMPS/AAm/AAc Terpolymerization: Experimental Verification of the EVM Framework for Ternary Reactivity Ratio Estimation
The complete error-in-variables-model (EVM) framework, consisting of both design of experiments and parameter estimation stages, is applied to the terpolymerization of 2-acrylamido-2-methylpropane sulfonic acid (AMPS, M1), acrylamide (AAm, M2) and acrylic acid (AAc, M3). This water-soluble terpolymer has potential for applications in enhanced oil recovery, but the associated terpolymerization k...
متن کاملBIN@ERN: Binary-Ternary Compressing Data Coding
This paper describes a new method of data encoding which may be used in various modern digital, computer and telecommunication systems and devices. The method permits the compression of data for storage or transmission, allowing the exact original data to be reconstructed without any loss of content. The method is characterized by the simplicity of implementation, as well as high speed and comp...
متن کاملFiltering vs. nonlinear estimation procedures for image enhancement
Image enhancement methods can be divided into two groups: the ones that use only one single image and the ones that rely on specific training set or use multiple images. In this paper an iterative algorithm, based on the quasi-Newton methods, is introduced with the objective to enhance resolution only by one single image. In the paper there will be compared results gained depending on the used ...
متن کاملBinary Regression With a Misclassified Response Variable in Diabetes Data
Objectives: The categorical data analysis is very important in statistics and medical sciences. When the binary response variable is misclassified, the results of fitting the model will be biased in estimating adjusted odds ratios. The present study aimed to use a method to detect and correct misclassification error in the response variable of Type 2 Diabetes Mellitus (T2DM), applying binary ...
متن کاملBinary/ternary extreme learning machines
In this paper, a new hidden layer construction method for Extreme Learning Machines (ELMs) is investigated, aimed at generating a diverse set of weights. The paper proposes two new ELM variants: Binary ELM, with a weight initialization scheme based on f0;1g–weights; and Ternary ELM, with a weight initialization scheme based on f 1;0;1g–weights. The motivation behind this approach is that these ...
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: European Polymer Journal
سال: 2018
ISSN: 0014-3057
DOI: 10.1016/j.eurpolymj.2018.06.021