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Modeling phenomenon framework - Coggle Diagram
Modeling phenomenon framework
Model
a function
Assemble
the function
Linear
Combination
Scaling
Input and output
Add
Assemble the function from combinations of input-scaled pattern-book functions.
Fitting
the function
Regression
data analysis method
Is about finding the best
linear combination of a set of explanatory variables
to create a model function of the response variable.
Often can be done
automatically (or semi-automatically)
by software
Use the
data to guide the input and output scaling
“Polishing”
- improvement in estimated parameters
Multi input
Split the domain
Statistical Learning
Machine Learning
AI
Split the domain of the desired function into small pieces.
General-purpose mathematical approaches to
refining models
Identifying
systematic discrepancies
Extract information
from the function
Zero-finding
: finding an input that produces the desired output. This is also called
“inversion.”
Optimization
: finding an input that produces the largest output
Iteration
: building a result step-by-step
Differentiation
Integration
(Accumulation)
Model types
Empirical models
Mechanistic models