def test_tfunc():
mw = MainWin()
cnt = 0.
for aa in xrange(-100, 100):
val = float(aa) / 100
val2 = trans.tfunc(val)
val3 = trans.tfunc3(val)
mw.coords.append((cnt, val3, 1))
mw.coords2.append((cnt, val2, 1))
mw.coords3.append((cnt, val, 1))
cnt += 1
if cnt % 10 == 0:
print "%+0.3f=%+0.3f/%+0.3f " % (val, val2, val3),
gtk.main()
def fire(self):
sum = .0; xlen = len(self.tentarr)
for aa in range(xlen):
diff = self.tentarr[aa].fire(self)
sum += diff
sum /= len(self.tentarr)
#sum += self.bias
#self.output = trans.tfunc(sum)
#self.output = trans.tfunc2(sum)
self.output = trans.tfunc3(sum)
self.output += self.bias
#print "%+0.3f" % self.output,
if pgdebug > 2:
print " Neuron:", self.level, self.num
for dd in self.tentarr:
print " [i=%0.3f" % dd.input, "w=%0.3f" % dd.weight, "b=%0.3f] " % dd.bias,
#print "[%0.3f]" % dd.input,
print
print " Out: %0.3f" % self.output