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Class Summary |
| AbstractTeacherSynapse |
This class provides a framework to extend in order to implement various teachers,
just by overriding or implementing certain functions different functionality can
easily implemented. |
| ComparingSynapse |
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| ComparingSynapseBeanInfo |
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| ComparisonSynapse |
Final element of a neural network; it permits to compare
the outcome of the neural net and the input patterns
from a StreamInputSynapse connected to the 'desired'
property. |
| FahlmanTeacherSynapse |
This class extends the normal Teacher synapse and implements the Fahlman
40-20-40 criterion (the values can be changed). |
| TeacherSynapse |
Final element of a neural network; it permits to calculate
both the error of the last training cycle and the vector
containing the error pattern to apply to the net to
calculate the backprop algorithm. |
| TeacherSynapseBeanInfo |
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| TeachingSynapse |
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| TeachingSynapseBeanInfo |
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