func TestLearn64PatternA_5(t *testing.T) {
if testing.Short() {
t.SkipNow()
}
rand.Seed(1979)
ds := segment.NewDendriteSegment(64)
ds.Reset(1, 3, 5, 8, 13, 21)
patternA := data.NewBitset(64)
patternA.Set(2, 4, 22, 24, 42, 44, 62)
TryToLearn(t, 80, ds, 5, *patternA)
t.Log(ds)
}
func TestLearn64PatternAB_5(t *testing.T) {
if testing.Short() {
t.SkipNow()
}
rand.Seed(1979)
ds := segment.NewDendriteSegment(64)
ds.Reset(1, 3, 5, 8, 13, 21)
patternA := data.NewBitset(64)
patternA.Set(2, 4, 22, 24, 42, 44, 62)
patternB := data.NewBitset(64)
patternB.Set(22, 23, 24, 25, 26)
TryToLearn(t, 90, ds, 5, *patternA, *patternB)
t.Log(ds.Connected())
}
func NewColumn(inputSize, height int) *Column {
result := &Column{
active: data.NewBitset(height),
predictive: data.NewBitset(height),
proximal: segment.NewDendriteSegment(inputSize),
learning: -1,
learningTarget: 0,
distal: make([]*segment.DistalSegmentGroup, height),
}
for i := 0; i < height; i++ {
result.distal[i] = segment.NewDistalSegmentGroup()
}
return result
}