C++ Neural Networks and Fuzzy Logic: Preface

ItemI−1I−2I−3H−1H−2O−1O−2O−3

Input0.520.750.97

Desired Output0.240.170.65

M−1 Row 10.6− 0.4

M−1 Row 20.20.8

M−1 Row 3− 0.50.3

M−2 Row 1− 0.900.430.25

M−2 Row 20.11− 0.67− 0.75

Threshold0.20.30.150.250.05

Activation − H− 0.0230.683

Activation + Threshold −H0.1770.983

Output −H0.5440.728

Complement0.4560.272

Activation −O− 0.410− 0.254− 0.410

Activation + Threshold −O− 0.260− 0.004− 0.360

Output −O0.4350.4990.411

Complement0.5650.5010.589

Diff. from Target− 0.195− 0.3290.239

Computed Error −O− 0.048− 0.0820.058

Computed Error −H0.00560.0012

Adjustment to Threshold0.00080.0002−0.0096−0.01640.0116

Adjustment to M−2 Column 1−0.0005−0.0070

Adjustment to M−2 Column 20.00070.0008

Adjustment to M−2 Column 30.00080.0011

New Matrix M−2 Row 1− 0.910.4120.262

New Matrix M−2 Row 20.096− 0.694− 0.734

New Threshold Values −O0.14040.23360.0616

Adjustment to M−1 Row 10.0004−0.0001

C++ Neural Networks and Fuzzy Logic:Preface

Adjustments to Threshold Values or Biases

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Adjustment to M−1 Row 20.00060.0001

Adjustment to M−1 Row 30.00080.0002

New Matrix M−1 Row 10.6004− 0.4

New Matrix M−1 Row 20.20060.8001

New Matrix M−1 Row 3−0.49920.3002

New Threshold Values −H0.20080.3002

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C++ Neural Networks and Fuzzy Logic:Preface

Adjustments to Threshold Values or Biases

118

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