### a question about ElasticNetworkLearning

Posted:

**Tue Dec 21, 2010 9:11 am**Hi andrew!

i have tested the TSP sample and got an excellent result, then ,i change network learning arithmetic from ElasticNetworkLearning to SOMLearning, the result is really bad, all path crossed each other.

i have read the code of ElasticNetworkLearning class and SOMLearning class in AForge.Neuro.Learning namespace. one of main diffierences of this two learning arithmetics is the definition of distance, or more exactly,the difinition of coordinates of every neuron.

according to the difinition in ElasticNetworkLearning, all neurons form a ellipse.

in this definition of coordinates, after Learning, line every neuron orderly, why there is no any cross? can you say some principle of ElasticNetworkLearning?

with best wishes!

whitebird.

i have tested the TSP sample and got an excellent result, then ,i change network learning arithmetic from ElasticNetworkLearning to SOMLearning, the result is really bad, all path crossed each other.

i have read the code of ElasticNetworkLearning class and SOMLearning class in AForge.Neuro.Learning namespace. one of main diffierences of this two learning arithmetics is the definition of distance, or more exactly,the difinition of coordinates of every neuron.

according to the difinition in ElasticNetworkLearning, all neurons form a ellipse.

in this definition of coordinates, after Learning, line every neuron orderly, why there is no any cross? can you say some principle of ElasticNetworkLearning?

with best wishes!

whitebird.