public Dictionary <object, object> loadFrame(CreationFrame frame, int index)
{
Dictionary <object, object> result = new Dictionary <object, object>();
Random random = new Random();
bool added = false;
Neuron neuron = frame.Neuron.Neuron;
if (neurons.Find(k => k.Neuron == neuron) == null)
{
PointF position = randomPoint(random);
AnimatedNeuron an = new AnimatedNeuron(neuron, position);
CreatedNeuron cn = new CreatedNeuron(an);
neurons.Add(an);
result.Add(neuron, cn);
added = true;
}
else
{
result.Add(neuron, true);
}
foreach (CreationData data in frame.Data)
{
if (data.Synapse.Changes.First <CreationData>() == data)
{
AnimatedNeuron pre = neurons.Find(k => data.Synapse.Pre == k.Neuron);
AnimatedNeuron post = neurons.Find(k => data.Synapse.Post == k.Neuron);
AnimatedSynapse synapse = synapses.Find(k => pre == k.Pre && post == k.Post);
if (synapse == null)
{
AnimatedSynapse syn = new AnimatedSynapse(pre, post, data.Synapse);
CreatedSynapse cs = new CreatedSynapse(syn);
synapses.Add(syn);
result.Add(syn.Synapse, cs);
if (syn.isDuplex())
{
result.Add(syn.Duplex, cs);
}
}
else
{
synapse.setDuplex(data.Synapse);
}
}
}
if (added)
{
balance();
}
return(result);
}
public CreationSequence addSentence(String sentence)
{
List <CreationFrame> frames = new List <CreationFrame>();
List <Neuron> sequence = new List <Neuron>();
String[] words = sentence.Split(' ');
int index = 0;
foreach (String word in words)
{
CreationFrame frame = create(word, ++sentences);
Neuron neuron = frame.Neuron.Neuron;
for (int i = 0; i < index; i++)
{
Synapse synapse = neuron.Input.Find(k => k.Pre.Equals(sequence[i]));
if (synapse == null)
{
synapse = new Synapse(sequence[i], neuron);
synapses.Add(synapse);
neuron.Input.Add(synapse);
sequence[i].Output.Add(synapse);
frame.add(synapse);
}
synapse.Change += 1 / (float)(index - i);
}
foreach (Synapse synapse in neuron.Input)
{
if (synapse.Change == 0)
{
continue;
}
float weight = synapse.Weight;
synapse.Factor += synapse.Change;
synapse.Weight = (2 * synapse.Factor) / (neuron.Count + synapse.Factor);
CreationData data = new CreationData(synapse, frame, synapse.Change, weight, synapse.Weight);
synapse.Changes.Add(data);
frame.add(data);
synapse.Change = 0;
}
sequence.Add(neuron);
frames.Add(frame);
this.frames.Add(frame);
index++;
}
return(new CreationSequence(frames));
}
public CreationData(Synapse synapse, CreationFrame frame, float change, float start, float finish)
{
this.synapse = synapse;
this.frame = frame;
this.change = change;
this.start = start;
this.finish = finish;
Height = 35;
Width = 160;
initializeGraphics();
MouseEnter += new EventHandler(mouseEnter);
MouseLeave += new EventHandler(mouseLeave);
background = SystemColors.Control;
}
public Creation(Display display) : base(display)
{
mapNeurons = new Dictionary <Neuron, CreatedNeuron>();
mapSynapses = new Dictionary <Synapse, CreatedSynapse>();
mapHistory = new Dictionary <AnimatedState, CreationHistory>();
neurons = new List <CreatedNeuron>();
synapses = new List <CreatedSynapse>();
CreationFrame.setDictionary(mapNeurons, mapSynapses);
duplex = new List <Synapse>();
tracking = new List <Tuple <int, int> >();
tuple = new Tuple <int, int>(-1, -1);
tracking.Add(tuple);
display.add(this);
count = 0;
}
public CreationFrame add(Brain brain, int index)
{
if (builder == null)
{
return(null);
}
CreationFrame frame = brain.add(this, builder, index);
SequenceNeuron neuron = frame.Neuron;
neuron.Top = 8;
neuron.Left = builder.Left;
neuron.changeType(SequenceElementType.Normal);
position = neuron.Right + 10;
builder = null;
sequence.Add(neuron);
frames.Add(frame);
return(frame);
}
void changeFrame(CreationFrame cf, bool change = false)
{
if (frame != null)
{
frame.create();
frame.Neuron.changeType(SequenceElementType.Normal);
}
frame = cf;
frame.Neuron.changeType(SequenceElementType.Active);
if (change)
{
frame.change();
}
if (animation)
{
frame.step();
}
}
public Dictionary <object, object> loadFrame(CreationFrame frame, int index)
{
return(animation.loadFrame(frame, index));
}
public void remove(CreationFrame frame)
{
}
public CreationFrame add(CreationSequence sequence, BuiltElement element, int frame)
{
CreationFrame result = create(element.Name, frame);
Neuron neuron = result.Neuron.Neuron;
int index = sequence.Frames.Count;
for (int i = 0; i < index; i++)
{
Neuron previous = sequence.Frames[i].Neuron.Neuron;
Synapse synapse = neuron.Input.Find(k => k.Pre.Equals(previous));
if (synapse == null)
{
synapse = new Synapse(previous, neuron);
synapses.Add(synapse);
neuron.Input.Add(synapse);
previous.Output.Add(synapse);
result.add(synapse);
}
synapse.Change += 1 / (float)(index - i);
}
foreach (Synapse synapse in neuron.Input)
{
if (synapse.Change == 0)
{
continue;
}
int count = 0;
float start = 0;
float weight = 0;
List <CreationData> changes = synapse.Changes;
synapse.Factor = 0;
foreach (CreationData cd in changes)
{
if (cd.Frame > frame)
{
break;
}
count++;
start = cd.Weight;
synapse.Factor += cd.Change;
}
synapse.Factor += synapse.Change;
weight = (2 * synapse.Factor) / (synapse.Factor + count + 1);
CreationData data = new CreationData(synapse, result, synapse.Change, start, weight);
changes.Insert(count, data);
result.add(data);
start = weight;
for (int i = count; i < changes.Count; i++)
{
synapse.Factor += changes[i].Change;
weight = (2 * synapse.Factor) / (synapse.Factor + i + 1);
changes[i].Start = start;
changes[i].Weight = weight;
start = synapse.Weight;
}
synapse.Weight = weight;
synapse.Change = 0;
}
for (int i = frame; i < frames.Count; i++)
{
frames[i].Frame = i;
}
frames.Insert(result.Frame, result);
return(result);
}
