Several types of empirical models are commonly used in catalysis: - Linear Models: Simple models assuming a linear relationship between input variables and response. - Polynomial Models: Models that use polynomial equations for better flexibility. - Exponential Models: Models suitable for processes that exhibit exponential behavior. - Power Law Models: Often used for rate equations in catalysis. - Artificial Neural Networks (ANNs): Advanced models that can capture complex non-linear relationships.
