C++ Neural Networks and Fuzzy Logic: Preface

1

 = (1, 0, 0, 1) has the activity vector (0, 8, 4) and the corresponding output vector is

(0, 1, 1), which is, Y

1

 = (0, 1, 1). The value of S

i

 is 2 = 1 + 0 + 0 + 1. Therefore, mS

i

 = 4. The first component

of the activation vector is 0, which is smaller than 4, and so the first component of the output vector is 0. The

second component of the activation vector is 8, which is larger than 4, and so the second component of the

output vector is 1. The last component of the activity vector is 4, which is equal to mS

i

, and so you use the

third component of the vector Y

1

 = (0, 1, 1), namely 1, as the third component of the output.

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C++ Neural Networks and Fuzzy Logic:Preface

Additional Issues

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