here are the results of the last spiral i’ll be doing with the cascade correlation algorithm. 183 hidden nodes were added and the network error was 0.290283. it trained over the entire weekend and i used much lower stopping criteria than previously, which is why it was able to add so many hidden nodes.

\[Rho] = 1.0;
\[Alpha] = 0.35;
\[Beta] = 0.35;
\[Mu] = 1.5;
\[Zeta] = 0.1;
r = 1.0;
MinError = 0.01;
MinSChange = 0.1;
MinEChange = 0.0005;
loopsize = 10;
maxweightval = 100.0;
stopafter = 1000;
candidatenodes = 8;