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27
Artificial Neuron Model?
Ein künstliches Neuron besteht aus:
x....Input vektor (x0,...xn) (x0 = 1)
w...Weights (w0,...wn) (w0 = b)
b....bias / offset
f....Activation funktion
z...output
z = f(w^T*x)
x....Input vektor (x0,...xn) (x0 = 1)
w...Weights (w0,...wn) (w0 = b)
b....bias / offset
f....Activation funktion
z...output
z = f(w^T*x)
Tags:
Source: CI Teil 1 Lecture 4
Source: CI Teil 1 Lecture 4
Flashcard info:
Author: Sepp Samuel
Main topic: Telematik
Topic: Computational Intelligence
School / Univ.: TU Graz
Published: 02.07.2014