Give aperceptron network, as small as possible, that represents the XORfunction?
106859
Can you please explain a little more about what you require.
590716
http://www.mininova.org/tor/216431
844185
square-ish in shape\ncome in different sizes\nmany varieties
916765
this might be of some help http://www.mnisose.org/profiles/pbpwatmi.htm
344265
http://www.alicebot.org/
88006
Neural Networks have the capability of learning from a just a few training samples. Solution space for neural network based reasoning is not restricted to linearity. i.e. a neural network automatically forms a complex formula(non-linear) fitting the inputs and the previous well known results. \nSolving non-linear systems using mathematical models is very complex and sometimes impossible. That's why we go for NN, Fuzzy, Genetic algorithms.
140428
x\n\nthe answer below is just for voltage - see my graph above - it is quite accurate. here it is again, larger: X
178162
molecular memory and neuro net artificial intelligence.
131460
You can learn many things here: \n\nhttp://theory.uwinnipeg.ca/mod_tech/node74.html
663638
check it out at http://www.xe.com
247548
You can construct one simply by interleaving a bounded sequence with an unbounded sequence. For example, the sequence 1/n with the sequence n to form \n\nS(i) = if i is odd 1/i if i is even i. \n\nThis has 1/i as a convergent subsequence.
258288
As usual, Google knows.\n\nGoogle says:\n\n"Did you mean: neural networks"
190877
http://www.vcn.com/knowledgebase/article.php?id=422
109534
An artificial Neural Network is an artificial human brain, the attempt is as of yet unsuccessful
776599
http://www.purplemath.com/modules/fcns2.htm
1089910
http://kevan.org/brain.cgi?nameMitchS
530814
You can use uname -X\n\nThis should give almost all the info you could want, and then some..