pretraining.txt

人工智能

--------------------------------------------------------
Input Layer
--------------------------------------------------------

Node Values:

(0) = 0.000000
(1) = 0.000000
(2) = 0.000000
(3) = 0.000000

Weights:

(0, 0) = 0.110000
(0, 1) = 0.250000
(0, 2) = 0.910000
(1, 0) = 0.180000
(1, 1) = -0.240000
(1, 2) = 0.090000
(2, 0) = 0.550000
(2, 1) = -0.070000
(2, 2) = -0.840000
(3, 0) = -0.380000
(3, 1) = 0.410000
(3, 2) = 0.580000

Bias Weights:

(0) = 0.770000
(1) = -0.130000
(2) = 0.580000


--------------------------------------------------------
Hidden Layer
--------------------------------------------------------

Weights:

(0, 0) = 0.110000
(0, 1) = 0.250000
(0, 2) = 0.910000
(1, 0) = 0.180000
(1, 1) = -0.240000
(1, 2) = 0.090000
(2, 0) = 0.550000
(2, 1) = -0.070000
(2, 2) = -0.840000

Bias Weights:

(0) = -0.380000
(1) = 0.410000
(2) = 0.580000


--------------------------------------------------------
Output Layer
--------------------------------------------------------

Node Values:

(0) = 0.000000
(1) = 0.000000
(2) = 0.000000