Search Result "nonlinear regression model"
Linear Regression and Logistic Regression
Ebook: Introduction to Machine Learning with Python
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124422123010005
Nonlinear Template-Free Symbolic Performance Modeling for Design and Process Variation Analysis of Analog Circuits
Ebook: Design of Analog Circuits through Symbolic Analysis
Volume: 1 Year: 2012
Author(s): Trent McConaghy,Georges G.E. Gielen
Doi: 10.2174/978160805095611201010343
A New Nonlinear Mixture Response Surface Paradigm for the Study of Synergism: A Three Drug Example
Journal: Current Drug Metabolism
Volume: 4 Issue: 5 Year: 2003 Page: 399-409
Author(s): Donald B. White, Harry K. Slocum, Yseult Brun, Carol Wrzosek, William R. Greco
Concentration Prediction of Dissolved Gases in Transformer Oil by Relevance Vector Regression Algorithm
Journal: Recent Patents on Electrical & Electronic Engineering
Volume: 6 Issue: 1 Year: 2013 Page: 63-67
Author(s): Sheng-wei Fei, Yong He
Logistic Regression as a Classifier in Health Research
Ebook: Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
Volume: 1 Year: 2021
Author(s): Halil Ibrahim Keskin
Doi: 10.2174/9781681088716121010007
Modeling of Nonlinear Load Electric Energy Measurement and EvaluationSystem Based on Artificial Intelligence Algorithm
Journal: Recent Advances in Electrical & Electronic Engineering
Volume: 16 Issue: 2 Year: 2023 Page: 94-102
Author(s): Mohd Asif Shah
QSAR Model based Gradient Boosting Regression ofN-Arylsulfonyl-Indole-2-Carboxamide Derivatives as Inhibitors forFructose-1,6-bisphosphatase
Journal: Letters in Drug Design & Discovery
Volume: 21 Issue: 7 Year: 2024 Page: 1274-1286
Author(s):
Prediction of Distribution of Neutral, Acidic and Basic Structurally Diverse Compounds Between Blood and Brain by the Nonlinear Methodology
Journal: Medicinal Chemistry
Volume: 4 Issue: 2 Year: 2008 Page: 170-189
Author(s): Huabei Zhang, Shaoping Hu, Yaling Zhang
An Intelligent Vehicular Traffic Flow Prediction Model Using Whale Optimization with Multiple Linear Regression
Ebook: Computational Intelligence For Data Analysis
Volume: 1 Year: 2021
Author(s): N. Supriya,E. Laxmi Lydia,Hima Bindu Gogineni
Doi: 10.2174/9781681089430121010003
QSAR of Antitrypanosomal Activities of Polyphenols and their Analogues Using Multiple Linear Regression and Artificial Neural Networks
Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 17 Issue: 8 Year: 2014 Page: 709-717
Author(s): Vesna Rastija,Vijay H. Masand