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The classification of the patterns depends on the analyzing function.
402040 stands for the '402040' rule. That means on a range from
0 to 1 h will be 0.6 (upper 40%) and l will be 0.4 (lower 40%). The
middle 20% is represented by h-l. The classification of the patterns
will depend on h, l and other constrains (see 402040 below).
WTA stands for winner takes all. That means the classification
depends on the unit with the highest output and other constrains (see
WTA below). Band is an analyzing function that checks a
band of values around the teaching output. This is the only analyzing
function that treats teaching outputs of value zero correctly.
402040:
A pattern is classified correctly if:
- the output of exactly one output unit is
h.
- the 'teaching output' of this unit is the maximum teaching output
of the pattern.
- the output of all other output units is
1.
A pattern is classified incorrectly if:
- the output of exactly one output unit is
h.
- the 'teaching output' of this unit is NOT the maximum
'teaching output' of the pattern.
- the output of all other units is
1.
A pattern is unclassified in all other cases.
WTA:
A pattern is classified correctly if:
- there is an output unit with the value greater than the output
value of all other output units (this output value is supposed to be 0).
- 0 > h.
- the 'teaching output of this unit is the maximum 'teaching output'
of the pattern.
- the output of all other units is < a-1.
A pattern is classified incorrectly if:
- there is an output unit with the value greater than the output
value of all other output units (this output value is supposed to be
0).
- 0 > h.
- the 'teaching output ' of this unit is NOT the maximum
'teaching output' of the pattern.
- the output of all other output units is < a-1.
A pattern is unclassified in all other cases.
Band:
A pattern is classified correctly if for all output units:
- the output is >= the teaching output - low.
- the output is <= the teaching output + high.
A pattern is classified incorrectly if for all output units:
- the output is <= the teaching output - low.
or
- the output is >= the teaching output + high.
Default values used for l and h are: l=0.0 h=0.0
Next: Bignet
Up: Analyze
Previous: Analyze
Niels.Mache@informatik.uni-stuttgart.de
Tue Nov 28 10:30:44 MET 1995