Lecture 9_13
نویسنده
چکیده
The variance of zt around its expected value E( gt ) in this particular generation is σ g(t) + σ 2 e(t). However, we usually don’t know the particular value of dt, which is assumed to be uncorrelated between generations (σ(dt, dt′) = 0), with mean 0 and variance σ d. Thus, the expected value of zt measured at a random time (e.g., the value of d is chosen at random) is μ+E( gt ) and the variance of zt about this mean value is inflated by σ d to give σz(t) = σ 2 g(t) + σ 2 e(t) + σ 2 d (9.3)
منابع مشابه
Manifold Construction Using the Multilayer Perceptron
We present a training method which adjusts the weights of the MLP (Multilayer Perceptron) to preserve the distance invariance in a low dimensional space. We apply visualization techniques to display the detailed representations of the trained neurons.
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تاریخ انتشار 2003