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 void undo(CreationData data) { if (data.Synapse == synapse.Synapse) { synapse.Weight = data.Start; } else { duplex.Weight = data.Weight; } }
public void change(CreationData data) { if (data.Synapse == synapse.Synapse) { synapse.Change = data.Weight - synapse.Weight; } else { duplex.Change = data.Weight - duplex.Weight; } }
public void tick(CreationData cd) { if (synapse.Synapse == cd.Synapse) { synapse.getState(false).Change += cd.Step; } else { synapse.getState(true).Change += cd.Step; } }
public override void show() { base.show(); Controls.Clear(); for (int i = Math.Max(0, synapse.History.Count - 4), j = 0; i < synapse.History.Count; i++, j++) { CreationData cd = synapse.History[i]; Controls.Add(cd); cd.Location = new Point(2, j * 36 + 40); cd.show(); } }
public void create(CreationData data) { if (data.Synapse == synapse.Synapse) { synapse.History.Add(data); synapse.Weight = data.Weight; synapse.Change = 0; } else { duplex.History.Add(data); duplex.Weight = data.Weight; duplex.Change = 0; } }
public void add(CreationData data) { this.data.Add(data); }
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); }