C++ Neural Networks and Fuzzy Logic: Preface



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C neural networks and fuzzy logic

Orthogonal Bit Patterns

You may be wondering how many patterns the network with four nodes is able to recall. Let us first consider

how many different bit patterns are orthogonal to a given bit pattern. This question really refers to bit patterns

in which at least one bit is equal to 1. A little reflection tells us that if two bit patterns are to be orthogonal,

they cannot both have 1’s in the same position, since the dot product would need to be 0. In other words, a

bitwise logical AND operation of the two bit patterns has to result in a 0. This suggests the following. If a

pattern P has k, less than 4, bit positions with 0 (and so 4−k bit positions with 1), and if pattern Q is to be

orthogonal to P, then Q can have 0 or 1 in those k positions, but it must have only 0 in the rest 4−k positions.

Since there are two choices for each of the k positions, there are 2

k

 possible patterns orthogonal to P. This



number 2

k

 of patterns includes the pattern with all zeroes. So there really are 2



k

–1 non−zero patterns

orthogonal to P. Some of these 2

k

–1 patterns are not orthogonal to each other. As an example, P can be the



pattern 0 1 0 0, which has k = 3 positions with 0. There are 2

3

–1=7 nonzero patterns orthogonal to 0 1 0 0.



Among these are patterns 1 0 1 0 and 1 0 0 1, which are not orthogonal to each other, since their dot product is

1 and not 0.




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