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  2. Sigmoid function - Wikipedia

    en.wikipedia.org/wiki/Sigmoid_function

    A sigmoid function is any mathematical function whose graph has a characteristic S-shaped or sigmoid curve. A common example of a sigmoid function is the logistic function , which is defined by the formula: [ 1 ]

  3. Activation function - Wikipedia

    en.wikipedia.org/wiki/Activation_function

    Neurons also cannot fire faster than a certain rate, motivating sigmoid activation functions whose range is a finite interval. The function looks like () = (+ ′), where is the Heaviside step function.

  4. Mitotic Trigger Wave - Wikipedia

    en.wikipedia.org/wiki/Mitotic_Trigger_Wave

    Mitotic trigger waves are most rapidly propagated at a 1x cytoplasmic concentration, but can be generated and propagated across a wide range of cellular environments [14]. The propagation speed of the waves are robust when encountering fluctuations of the cellular environment, because a increase in reactant concentration is countered by a ...

  5. Logistic function - Wikipedia

    en.wikipedia.org/wiki/Logistic_function

    The standard logistic function is the logistic function with parameters =, =, =, which yields = + = + = / / + /.In practice, due to the nature of the exponential function, it is often sufficient to compute the standard logistic function for over a small range of real numbers, such as a range contained in [−6, +6], as it quickly converges very close to its saturation values of 0 and 1.

  6. Universal approximation theorem - Wikipedia

    en.wikipedia.org/wiki/Universal_approximation...

    The first examples were the arbitrary width case.George Cybenko in 1989 proved it for sigmoid activation functions. [3] Kurt Hornik [], Maxwell Stinchcombe, and Halbert White showed in 1989 that multilayer feed-forward networks with as few as one hidden layer are universal approximators. [1]

  7. Swish function - Wikipedia

    en.wikipedia.org/wiki/Swish_function

    The swish paper was then updated to propose the activation with the learnable parameter β. In 2017, after performing analysis on ImageNet data, researchers from Google indicated that using this function as an activation function in artificial neural networks improves the performance, compared to ReLU and sigmoid functions. [ 1 ]

  8. Hill equation (biochemistry) - Wikipedia

    en.wikipedia.org/wiki/Hill_equation_(biochemistry)

    For example, the Hill coefficient of oxygen binding to haemoglobin (an example of positive cooperativity) falls within the range of 1.7–3.2. [5] <. Negatively cooperative binding: Once one ligand molecule is bound to the enzyme, its affinity for other ligand molecules decreases. =.

  9. List of reference ranges for cerebrospinal fluid - Wikipedia

    en.wikipedia.org/wiki/List_of_reference_ranges...

    Reference ranges for other CSF constituents Substance Lower limit Upper limit Unit Corresponds to % of that in blood plasma; RBCs: n/a [2] 0 [2] / negative: cells/μL or