شبكه هاي عصبي مصنوعي ann farsi []

15
(Artificial Neural Network) [email protected] [email protected] . (ANN) 1 . . .ANN . . . . ANNs . . . . . ) noise ( . Artificial Neural Network . 1 neuron . 2

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Page 1: شبكه هاي عصبي مصنوعي Ann farsi []

(Artificial Neural Network)

[email protected]

[email protected]

.(ANN)1

.

.

.ANN .

.

.

.ANNs

.

.

.

.

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)

noise (.

Artificial Neural Network.1

neuron.2

Page 2: شبكه هاي عصبي مصنوعي Ann farsi []

.

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100 :

.)1(.

.)

(.

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.

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..

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cell body(soma).1

Page 3: شبكه هاي عصبي مصنوعي Ann farsi []

.

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.ixy.

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j .

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Page 4: شبكه هاي عصبي مصنوعي Ann farsi []

..

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1.Feed-Forward

Page 5: شبكه هاي عصبي مصنوعي Ann farsi []

)(.

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Recurrent.1

Page 6: شبكه هاي عصبي مصنوعي Ann farsi []

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ANN )(s.

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Supervised Learning.1

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Page 7: شبكه هاي عصبي مصنوعي Ann farsi []

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tx

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Reinforcement Learning.1

Unsupervised Learning.2

Back-propagation error.3

Page 8: شبكه هاي عصبي مصنوعي Ann farsi []

x :

t :)(

k :jkwkY.

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Page 9: شبكه هاي عصبي مصنوعي Ann farsi []

.),...,2,1( mkYj

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Page 10: شبكه هاي عصبي مصنوعي Ann farsi []

:OR .

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rCn

Fn

SF1

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single machine shop.1

Due-Date.2

Mean Flow time.3

Page 11: شبكه هاي عصبي مصنوعي Ann farsi []

))(( SFw.iw

ih.wF .

i

iiw SChn

F )(.1

)(sT.

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Mean Weighted Flow time.1

2.Mean Tardiness

Page 12: شبكه هاي عصبي مصنوعي Ann farsi []

iP :i }max{ ip pM p

i

M

Pneuronofinput :1

id : i }max{ id dM d

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dd

neuronofinput i

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10:4 ihneuronofinput

Page 13: شبكه هاي عصبي مصنوعي Ann farsi []

d

i

M

d

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PPi

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feed-forward

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Page 14: شبكه هاي عصبي مصنوعي Ann farsi []

:

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back-propacation.

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Page 15: شبكه هاي عصبي مصنوعي Ann farsi []

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David J. Cavuto , AN EXPLORATION AND DEVELOPMENT OF CURRENT

ARTIFICIAL NEURAL NETWORK THEORY AND APPLICATIONS WITH

EMPHASIS ON ARTIFICIAL LIFE , A thesis submitted in partial fulfillment of the

requirements for the degree of Master of Engineering, May 6, 1997

Baoding Liu , Introduction to Uncertain Programming, Uncertainty Theory

Laboratory , Department of Mathematical Sciences , Tsinghua University , China

, November 23, 2005

Ahmed El-Bouri, Subramaniam Balakrishnan, Neil Popplewell, Theory and

Methodology Sequencing jobs on a single machine: A neural network

approach, Department of Mechanical Engineering, Faculty of Engineering,

University of Manitoba, Winnipeg, Manitoba, Canada R3T 2N2,Received 1 May

1998; accepted 1 April 1999