In the context of neural networks, a perceptron is an artificial neuron using the Heaviside step function as the activation function.
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This process is a step function which jumps upward with new arrivals to the system and otherwise is linear with negative gradient.
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Phase margin indicates relative stability, the tendency to oscillate during its damped response to an input change such as a step function.
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The two functions are chosen together so that the unit step function is the accumulation ( running total ) of the unit impulse function.
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The state trajectory overtime S ( t ) can be mathematically represented by a step function whose values change in correspondence of discrete events.
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He first defines step functions ( each " step " being a set with finite measure ) and their integrals in the obvious way.
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Eventually relative valuations fall as growth prospects diminish, but this can often occur quickly and cause a step function down in valuation multiples.
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The proportionality constant can be derived from the knowledge of the step response of the network to a unit step function input signal of amplitude:
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The bounds may have almost any shapes, including step functions, so long as they are monotonically increasing and do not cross each other.
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It is an example of the general class of step functions, all of which can be represented as linear combinations of translations of this one.
