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Learning Vector Quantization LVQ
1.
Machine Learning &
Neural Networks Eric Postma IKAT
2.
3.
Perceptrón
4.
Deducción de la
regla delta de aprendizaje Target output Actual output h = i
5.
Perceptrón Multicapa
6.
7.
Deducción de la
regla delta generalizada
8.
Función de error
(LMS)
9.
Ajuste del vector
de pesos (capa oculta – salida)
10.
Ajuste del vector
de pesos (capa de entrada – capa oculta)
11.
Propagación hacia adelante
y retropropagación
12.
13.
14.
El problema de
inversión x t x t Functional mapping Non-functional inverse mapping
15.
Ejemplo: análisis espectral
16.
17.
Solución m.b.v.
Modelo mixto x t Non-functional inverse mapping
18.
19.
20.
Regla de aprendizaje
con weight decay
21.
Cushings Dataset
22.
23.
2 hidden
(perfect fit)
24.
2 hidden
(perfect fit)
25.
2 hidden, lambda
= 0.001 (smoother) = Lokaal minimum
26.
2 hidden, lambda
= 0.01 = Lokaal minimum
27.
5 hidden, lambda
= 0.01
28.
20 hidden, lambda
= 0.01
29.
Learning Vector Quantisation
(LVQ)
30.
31.
32.
33.
34.
35.
36.
37.
38.
39.
40.
41.
42.
43.
44.
45.
46.
Self-organizing Feature Maps
Teuvo Kohonen
47.
48.
49.
50.
51.
52.
53.
54.
55.
56.
SOM toegepast op
tijdreeksen
57.
Matlab SOM toolbox
58.
Los datos (3D)
59.
Unified Distance Matrix
60.
Sammon mapping
61.
Hit histogram 1
(numeric)
62.
Hit histogram 2
(size)
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