a function model or functional model is a structured representation of the functions (activities, actions, processes, operations) within the modeled system...

("Icam DEFinition for Function Modeling", where ICAM is an acronym for "Integrated Computer Aided Manufacturing"), is a function modeling methodology for describing...

In statistical modeling (especially process modeling), polynomial functions and rational functions are sometimes used as an empirical technique for curve...

a type of key on computer keyboards Function model, a structured representation of processes in a system Function object or functor or functionoid, a...

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...

as a synonym for "logistic function". Special cases of the sigmoid function include the Gompertz curve (used in modeling systems that saturate at large...

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...

type of systems modeling is function modeling, with specific techniques such as the Functional Flow Block Diagram and IDEF0. These models can be extended...

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...

activation function is nonlinear. Modern activation functions include the logistic (sigmoid) function used in the 2012 speech recognition model developed...

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...

classifier. Analogous linear models for binary variables with a different sigmoid function instead of the logistic function (to convert the linear combination...

A likelihood function (often simply called the likelihood) measures how well a statistical model explains observed data by calculating the probability...

refers to a goal or objective that we wish to maximize, i.e., an objective function. This kind of utility bears a closer resemblance to the original utilitarian...

described. Each of the functions has an associated factor. For this work, Jakobson was influenced by Karl Bühler's organon model, to which he added the...

executive function together constitute the self-regulatory executive function model (S-REF). This is also known as the metacognitive model. In more recent...

structure in dynamic enterprise modeling is called a reference model. A reference model is the total view of visions, functions, and organizational structures...

precisely, every model of computation that has ever been imagined can compute only computable functions, and all computable functions can be computed by...

potential well mathematically described by the Dirac delta function - a generalized function. Qualitatively, it corresponds to a potential which is zero...

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...

}^{\infty }\delta (x)dx=1.} Since there is no function having this property, modelling the delta "function" rigorously involves the use of limits or, as...

and Kirkpatrick found that it is highly likely for the energy function of the SK model to have many local minima. In the 1982 paper, Hopfield applied...

generalized logistic function or curve is an extension of the logistic or sigmoid functions. Originally developed for growth modelling, it allows for more...

algorithms, game theory (as functions modeling user preferences) and electrical networks. Recently, submodular functions have also found utility in several...

cognitive science and neuropsychology, executive functions (collectively referred to as executive function and cognitive control) are a set of cognitive...

development into the model's hierarchy of function calls. The Internet protocol suite as defined in RFC 1122 and RFC 1123 is a model of networking developed...

programming languages. Data models are often complemented by function models, especially in the context of enterprise models. A data model explicitly determines...

autoregressive (AR) model. The use of this function was introduced as part of the Box–Jenkins approach to time series modelling, whereby plotting the...

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...