In systems engineering, software engineering, and computer science, a function model or functional model is a structured representation of the functions (activities, actions, processes, operations) within the modeled system or subject area.[1]
A function model, similar with the activity model or process model, is a graphical representation of an enterprise's function within a defined scope. The purposes of the function model are to describe the functions and processes, assist with discovery of information needs, help identify opportunities, and establish a basis for determining product and service costs.[2]
^FIPS Publication 183 Archived 2009-02-27 at the Wayback Machine released of IDEFØ December 1993 by the Computer Systems Laboratory of the National Institute of Standards and Technology (NIST).
^Reader's Guide to IDEF0 Function Models. Accessed 27 Nov 2008.
a functionmodel or functional model is a structured representation of the functions (activities, actions, processes, operations) within the modeled system...
link function and by allowing the magnitude of the variance of each measurement to be a function of its predicted value. Generalized linear models were...
a type of key on computer keyboards Functionmodel, a structured representation of processes in a system Function object or functor or functionoid, a...
("Icam DEFinition for FunctionModeling", where ICAM is an acronym for "Integrated Computer Aided Manufacturing"), is a functionmodeling methodology for describing...
In statistical modeling (especially process modeling), polynomial functions and rational functions are sometimes used as an empirical technique for curve...
The logistic function was introduced in a series of three papers by Pierre François Verhulst between 1838 and 1847, who devised it as a model of population...
activation function is nonlinear. Modern activation functions include the smooth version of the ReLU, the GELU, which was used in the 2018 BERT model, the logistic...
transfer function (also known as system function or network function) of a system, sub-system, or component is a mathematical function that models the system's...
as an alias for the logistic function. Special cases of the sigmoid function include the Gompertz curve (used in modeling systems that saturate at large...
classifier. Analogous linear models for binary variables with a different sigmoid function instead of the logistic function (to convert the linear combination...
type of systems modeling is functionmodeling, with specific techniques such as the Functional Flow Block Diagram and IDEF0. These models can be extended...
real line is equal to one. Since there is no function having this property, to model the delta "function" rigorously involves the use of limits or, as...
executive function together constitute the self-regulatory executive functionmodel (S-REF). This is also known as the metacognitive model. In more recent...
corporate functions and operations necessary to manufacture current and potential future variants of a product. The term "enterprise model" is used in...
In mathematics, the Lambert W function, also called the omega function or product logarithm, is a multivalued function, namely the branches of the converse...
King–Plosser–Rebelo preferences Hyperbolic absolute risk aversion Most utility functions used for modeling or theory are well-behaved. They are usually monotonic and quasi-concave...
viewed as a function of the parameters of a statistical model. Intuitively, the likelihood function L ( θ ∣ x ) {\displaystyle {\mathcal {L}}(\theta \mid...
In a non-parametric setting, the variance function is assumed to be a smooth function. In a regression model setting, the goal is to establish whether...
cognitive science and neuropsychology, executive functions (collectively referred to as executive function and cognitive control) are a set of cognitive...
complexity theory, a model of computation is a model which describes how an output of a mathematical function is computed given an input. A model describes how...
autoregressive (AR) model. The use of this function was introduced as part of the Box–Jenkins approach to time series modelling, whereby plotting the...
college. AP Precalculus centers on functionsmodeling dynamic phenomena. This research-based exploration of functions is designed to better prepare students...
In structural equation modeling, a discrepancy function is a mathematical function which describes how closely a structural model conforms to observed data;...
precisely, every model of computation that has ever been imagined can compute only computable functions, and all computable functions can be computed by...
for functions not readily perceivable by the user, but essential for proper operation. Weighted Micro Function Points – One of the newer models (2009)...
optimization and decision theory, a loss function or cost function (sometimes also called an error function) is a function that maps an event or values of one...
Business Process Model and Notation modeling tools CMMN (Case Management Model and Notation) Process Driven Messaging Service Functionmodel Functional software...
generalized logistic function or curve is an extension of the logistic or sigmoid functions. Originally developed for growth modelling, it allows for more...