1. ARTIFICIAL NEURAL NETWORK
1
Mahdi Akbarzadeh

2. 
Biological Neurons

Artificial Neurons
2

3. INTRODUCTION
3

4. MODELS AND ALGORITHMS
4

5. MODELS AND ALGORITHMS
5

6. JARGON
6

7. JARGON
7

8. NETWORK DIAGRAM
8

9. NETWORK DIAGRAM
9

10. PERCEPTRONS
10

11. PERCEPTRONS
11

12. PERCEPTRONS
12

13. PERCEPTRONS
13

14. PERCEPTRONS
14

15. PERCEPTRONS
15

16. PERCEPTRONS
16

17. MULTILAYER PERCEPTERON
17

18. MULTILAYER PERCEPTERON
18

19. MULTILAYER PERCEPTERON
19

20. MULTILAYER PERCEPTERON
20

21. MULTILAYER PERCEPTERON
21

22. MULTILAYER PERCEPTERON
22

23. MULTILAYER PERCEPTERON
23

24. MULTILAYER PERCEPTERON
24

25. MULTILAYER PERCEPTERON
25

26. 26

27. 27

28. 28

29. 29

30. 30

31. 31

32. 32

33. Backpropagation
a
1
1  e  net g
g 
33

34. hardlim(n) = 1
=0
if n >=0
otherwise
logsig(n) = 1 / (1 + exp(-n))
poslin(n) = n, if n >= 0
= 0, if n <= 0
34

35. purelin(n) = n
satlin(n) = 0, if n <= 0
= n, f 0 <= n <= 1
=1, if 1 <= n
satlins(n) = -1,
= n,
= 1,
if n <= -1
if -1 <= n <= 1
if 1 <= n
35

36. tansig(n) = 2/(1+exp(-2n))-1
tribas(n) = 1 - abs(n), if -1 <= n <= 1
= 0, otherwise
36
radbas(n) = exp(-n^2)

37. 37

38. UNSUPERVISED LEARNING
38

39. UNSUPERVISED LEARNING
39

40. 40

41. 41

42. HYBRID NETWORK
42

43. RADIAL BASIS FUNCTION (RBF)
43

44. RADIAL BASIS FUNCTION (RBF)
44

45. EXAMPLE
45

46. 46

47. EXAMPLE: SPSS
47

48. EXAMPLE: SPSS
48

49. EXAMPLE: SPSS
49

50. EXAMPLE: SPSS
50

51. EXAMPLE: SPSS
51

52. EXAMPLE: SPSS
52

53. EXAMPLE: SPSS
53

54. EXAMPLE: SPSS
54

55. EXAMPLE: SPSS
55

56. EXAMPLE: SPSS
56

57. EXAMPLE: SPSS
57

58. EXAMPLE: MATLAB
nprtool
58

59. 59

60. 60

61. 61

62. 62

63. 63

64. 64

65. 65

66. 66

67. 67

68. 68