jung neural network stuff

gistfile1.java

public Graph<Neuron, Synapse> generateNeuroNetz(NeuronalesNetz net) { 

		int neuroNetCount = net.getNeuronen().size();
		
		Graph<Neuron, Synapse> graph = new SparseMultigraph<Neuron, Synapse>();
		for (Synapse synapse : net.getSynapsen()) {
			Neuron start = net.getNeuronen().get(synapse.getStartNeuronID());
			Neuron goal = net.getNeuronen().get(synapse.getGoalNeuronID());
			graph.addEdge(synapse, start, goal, EdgeType.DIRECTED);
		}
		
		int neuroGraphCount = graph.getVertexCount();
		
		if(neuroGraphCount <neuroNetCount){
			LOG.info("Nicht alle Neuronen des Netzes wurden dem Graph hinzugefügt, da einige Neuronen keine Synapsen verbinden");
		}
		return graph;
	}
g = generateNeuroNetz(net);

vv = new VisualizationViewer<Neuron, Synapse>(new ISOMLayout<Neuron, Synapse>(g));


	getVv().setGraphLayout(new FRLayout<Neuron, Synapse>(getGraph())); 
			
			for (Neuron neuron : getGraph().getVertices()) {
				if (neuron.getLayer() == null) {
					continue;
				}
				Integer neuronGroup = neuron.getGroupIdOfLayer();
				Integer neuronLayer = neuron.getNeuronIdOfLayer();
				double x = 100 + neuronGroup*100 + neuronLayer*50;// + Math.random()*100; 
				double y = 100 + neuron.getLayer() * 100;
				getVv().getGraphLayout().setLocation(neuron, new Point2D.Double(x, y));
			}
		}


class NeuronInfo<V> implements Transformer<V, String>{} // V = Neuron
NeuronInfo neuroInfo;
getVv().getRenderContext().setVertexLabelTransformer(neuroInfo);

class DisplayNeuron<V, E> implements Predicate<Context<Graph<V, E>, V>> { // V = Neuron, E = Synapse
		V v = context.element;
		Neuron neuron = (Neuron) v;
		Integer neuroLayer = neuron.getLayer();

		
		if (filterOn) {
			return true;
		}
		if (layer.equals(neuroLayer)) {
			return true;
		}
		return false;

	}
}


if (b == true) {
			getVv().getRenderContext().setEdgeShapeTransformer(
					new EdgeShape.QuadCurve<Neuron, Synapse>());
		} else {
			getVv().getRenderContext().setEdgeShapeTransformer(
					new EdgeShape.Line<Neuron, Synapse>());
		}




initNetz(null);//Zum ersten Start ein kleines Beipspiel-Netz
		getVv().getRenderContext().setVertexFillPaintTransformer(getNeuronColor());
		getVv().getRenderContext().setEdgeDrawPaintTransformer(getSynapsenColorTransformer());
		getVv().getRenderContext().setVertexDrawPaintTransformer(neuronenBorderColor);
		getVv().getRenderContext().setEdgeShapeTransformer(new EdgeShape.Line<Neuron, Synapse>()); // Kantenform, gebogen/gerade
		getVv().getRenderContext().setVertexIncludePredicate(displayNeuroLayer);
		getVv().getRenderContext().setArrowFillPaintTransformer(	new ConstantTransformer(Color.lightGray));
		getVv().getRenderContext().setArrowDrawPaintTransformer(	new ConstantTransformer(Color.black));
			
		graphMouse = new DefaultModalGraphMouse();
		graphMouse.add(new GraphPopUp(this));
		graphMouse.setMode(ModalGraphMouse.Mode.TRANSFORMING);
		getVv().setVertexToolTipTransformer(new NeuronTooltip());
		getVv().setGraphMouse(graphMouse);
		getVv().setBackground(colorVv);



DisplayNeuron<Neuron,Synapse> displayNeuroLayer;
getVv().getRenderContext().setVertexIncludePredicate(displayNeuroLayer);

// #################
GraphZoomScrollPane graphPanel = new GraphZoomScrollPane(getVv());