RN Sous Matlab

June 26, 2018 | Author: Kara Reda | Category: Artificial Neural Network, Axon, Brain, Nervous System, Neuron
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Cl−

N a+

Dendrites

Noyau Corps cellulaire Noeud de Ranvier Cellules de Schwann Gaine de myéline Axone  Terminaisons de l’axon

E  = (ei ), ∀i



1..n

W  = (wi ), ∀i signe(x)

b



S i = signe(

(wi ∗ ei ) + b)



1..n

a =

P i hardlim(W  · P i + b)

e = T i − a

T i = 1 a = 0 e = 1 T i = 0 a=1

W new = W old + e · P i

1 bnew = bold + e



b ∀i

hardlim(W  · P i +

b) = T i P i a = hardlim(W  · P i + b)

k

d∈N X  ∈ Rd W  ∈ Rd n∈N

k2

Θ

y=

n 

(x j w j ) + Θ

 j

X  ∈ Rd ν  ∈ [0; 1] S  A

w = w + ν (D − A)X 

E  = (D − A)2

k P  T 

k

n k

Vectors to be Classified 1.5

1

       )        2        (        P

0.5

0

−0.5 −0.5

0

0.5 P(1)

Pt

1

1.5

Vectors to be Classified

1.4 1.2 1 0.8        )        3        (        P

0.6 0.4 0.2 0 −0.2 −0.4 −0.5

0

0.5

1

1.5

−0.5

0

0.5 P(2)

P(1)

1

1.5

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