'Nonlinear relationships' presentation slideshows

CURVE FITTING

Describes techniques to fit curves ( curve fitting ) to discrete data to obtain intermediate estimates. There are two general approaches for curve fitting: Regression :

1.16k views • 44 slides

Multiple Regression

477 views • 35 slides

Chapter 14 of Sterman: Formulating Nonlinear Relationships

Chapter 14 of Sterman: Formulating Nonlinear Relationships. Why have we been focusing on linear relationships?. Not because the relationships were in-fact linear! Because the mathematics were much simpler.

436 views • 26 slides

347 views • 20 slides

Face Recognition based on Kernel Radial Basis Function

Neural Networks. Face Recognition based on Kernel Radial Basis Function. Ali Razmkhah Dr. Ebrahimi. 9 Jan 2010 Sahand University of Technology. Introduction. Face recognition is a very challenging research problem due to variations in

395 views • 17 slides

Artificial Neural Networks for Decision Support in Copper Smelting Process

240 views • 13 slides

Graphing and relationships

Graphing and relationships. Graphing and variables. Identifying Variables A variable is any factor that might affect the behavior of an experimental setup. The independent variable is the factor that is changed or manipulated during the experiment; plotted on the x axis

234 views • 10 slides

4.1 Transforming Data

4.1 Transforming Data. Pg. 195-210. Reexpressing . Applying a function such as the logarithm or square root to a quantitative transforming variable is called transforming or reexpressing the data. . Nonlinear Relationships.

206 views • 7 slides

Correlations: Relationship, Strength, & Direction

Correlations: Relationship, Strength, & Direction. Scatterplots are used to plot correlational data It displays the extent that two variables are related to one another . Relationship Strength. The strength of a relationship between two variables is on a scale from -1 to 1

125 views • 6 slides