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模拟退火算法matlab实现

更新时间:2023-06-20 12:17:04 阅读：评论：0

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模拟退火算法matlab实现

个人自传

复制代码

1. function outPut=Activation_func(x,w)

2. temp=x*w;

3. outPut=temp;

4. [rows cols]=size(temp);

5. for i=1:rows

6. for j=1:cols

7. outPut(i,j)=1/(1+exp(-temp(i,j)));

8. end

9. end

10.

复制代码

1. function outPut=adjust_randWeight(T)

2. outPut=zeros(1);

木命是哪年出生的3. Delta_W=0.5*T*tan(rand(1));

4. outPut=Delta_W;

5. 鱼的单词

复制代码

1. clear

2. %Receive input 练瑜伽可以减肥吗

3. firstLayer_Neural_Num=input('This is the 1st layer.How many neurals do you want to u? ');

4. condLayer_Neural_Num=input('This is the 2nd layer.How many neurals do you want to u? ');

5. thirdLayer_Neural_Num=input('This is the 3rd layer.How many neurals do you want to u? ');

6. %Initialize W and V

7. V=rands(firstLayer_Neural_Num,condLayer_Neural_Num)-0.5;

8. W=rands(condLayer_Neural_Num,thirdLayer_Neural_Num)-0.5;

9. V_copy=V;

10. W_copy=W;

11.

12. %Initialize X and Y

13. X=[0,0;0,1;1,0];

14. Y=[0.6;1;1];

15. [x_rows x_cols]=size(X);

16. [y_rows y_cols]=size(Y);

17. sampNum=x_rows;

18. outputMension=y_cols;

19. %Initialize Temperature

20. Temperature=10;

21.

22. %Begin to train

23. while Temperature>0.9

24. for sampIndex=1:sampNum

25.

26. pre_energy=return_energy(X(sampIndex,:),Y(sampIndex,:),V,W);

27.

28. %initialize p and r

防火墙怎么打开29. flag=1;

30.

31. %pre_adjustWeight is a 1*4 matrix,which means[state,row,col,value]

32. %state means if it comes from V ,the state equals 0. Also,if it

33. % comes from W, the state equals 1.

34. while flag==1

35. pre_adjustWeight=generate_randWeight(V,W);

36. adjust_rows=pre_adjustWeight(2);

37. adjust_cols=pre_adjustWeight(3);

38. adjust_val=pre_adjustWeight(4);

太平天国运动死了多少人39.

40. %Adjust pre_adjustWeight

41. Delta_weight=adjust_randWeight(Temperature);

42. if pre_adjustWeight(1)==0

43. V_copy(adjust_rows,adjust_cols)=adjust_val+Delta_weight;

44. el

45. W_copy(adjust_rows,adjust_cols)=adjust_val+Delta_weight;

46. end

47.

48. pro_energy=return_energy(X,Y,V_copy,W_copy);

49.

50. Delta_energy=pro_energy-pre_energy;

51.

52. if Delta_energy>0

53. r=rand(1);

54. p=Temperature/(Temperature^2+pro_energy^2);

55. if p<r

56. flag=0;

57. end

58. end

59. end

60. 宽带接口

61. if pre_adjustWeight(1)==0

62. V(adjust_rows,adjust_cols)=adjust_val+Delta_weight;

63. el

64. W(adjust_rows,adjust_cols)=adjust_val+Delta_weight;

65. end

大字的成语66.

67.

68. end

69. Temperature=0.9*Temperature;

70.

71. end

72.

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