...kurtosis
Kurtosis (K) is the fourth-cumulant counterpart of variance. If variance is defined as tex2html_wrap_inline1437 , then tex2html_wrap_inline1439 is the normalised kurtosis. It gives a measure of peakedness of a distribution. For Gaussian distribution it is zero.
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...cortex
Cortex is the surface of the brain. Cerebral cortex is responsible for higher brain functions, e.g. sensory processing and planning of motor commands.
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...orthogonal
For orthogonal matrix W it holds tex2html_wrap_inline1559 . Orthogonal mapping is of form tex2html_wrap_inline1561 .
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...degenerate case
If the input falls equally far from two or more reconstruction vectors, then equation 2.1 has degenerate solutions. If the input has a continuous density, however, this happens with probability zero.
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...algorithm
Back-propagation is a popular learning algorithm for MLP networks. See e.g. Haykin (1994).
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...correlation
Correlation between tex2html_wrap_inline1641 and tex2html_wrap_inline1643 is tex2html_wrap_inline1645 . The value tex2html_wrap_inline1621 equals the correlation between tex2html_wrap_inline1641 and tex2html_wrap_inline1643 , if tex2html_wrap_inline1653 .
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...fuzzy truth values
In conventional logic propositions can be either true or false. In fuzzy logic there can be propositions with intermediate truth values. Value one means that the proposition is absolutely true and value zero that it is absolutely false. Intermediate values mean that the proposition is true and false to some extent.
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...neighbourhood
The neurons are supposed to lie on a low-dimensional map (cf. the 2-dimensional surface of the cortex). The neighbourhood function tex2html_wrap_inline1921 is a measure of the cooperation between neurons i and c. The cooperation is strongest for neighbouring neurons and it decreases with the distance between neurons. For more information about SOM see the Master's Thesis of Jaakko Hollmén.
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.

Harri Lappalainen
Thu May 9 14:06:29 DST 1996