posttraining.txt

人工智能

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

Node Values:

(0) = 0.000000
(1) = 0.600000
(2) = 0.000000
(3) = 0.200000

Weights:

(0, 0) = 5.188663
(0, 1) = -15.546559
(0, 2) = 18.714693
(1, 0) = -2.726677
(1, 1) = -7.394996
(1, 2) = 4.828823
(2, 0) = 5.434646
(2, 1) = 1.903792
(2, 2) = 0.500939
(3, 0) = -9.177394
(3, 1) = 5.073530
(3, 2) = 1.635486

Bias Weights:

(0) = -2.391518
(1) = -1.159903
(2) = 4.815067


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

Weights:

(0, 0) = 5.693607
(0, 1) = -5.605496
(0, 2) = 5.947213
(1, 0) = -16.011061
(1, 1) = 5.000146
(1, 2) = -6.989434
(2, 0) = 0.907746
(2, 1) = -0.141177
(2, 2) = -14.555731

Bias Weights:

(0) = 1.170913
(1) = 0.080255
(2) = -2.843543


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

Node Values:

(0) = 0.252654
(1) = 0.262965
(2) = 0.761160