Fixes

Author: Lukas Molzberger

src/main/java/network/aika/Model.java

@@ -119,7 +119,7 @@ public Neuron createNeuron(String label, Type type) {
 
 
     public Neuron createNeuron(String label, Type type, ActivationFunction actF) {
-        return new INeuron(this, label, null, type, type.getDefaultActivationFunction()).getProvider();
+        return new INeuron(this, label, null, type, actF).getProvider();
     }
 
     public Neuron createNeuron(String label, Type type, String outputText) {

src/main/java/network/aika/neuron/INeuron.java

@@ -152,6 +152,10 @@ public Type getType() {
         return type;
     }
 
+    public void setType(Type t) {
+        this.type = t;
+    }
+
 
     public Provider<InputNode> getOutputNode() {
         return outputNode;
@@ -214,6 +218,11 @@ public ActivationFunction getActivationFunction() {
     }
 
 
+    public void setActivationFunction(ActivationFunction actF) {
+        activationFunction = actF;
+    }
+
+
     public Stream<Activation> getActivations(Document doc) {
         ThreadState th = getThreadState(doc.getThreadId(), false);
         if(th == null) {
@@ -425,12 +434,12 @@ public Activation addInput(Document doc, Activation.Builder input) {
 
         doc.addInputNeuronActivation(act);
         doc.addFinallyActivatedNeuron(act.getINeuron());
-
+/*
         if(getType() != INPUT) {
             doc.getLinker().linkInput(act);
             doc.getLinker().process();
         }
-
+*/
         propagate(act);
 
         doc.propagate();
@@ -568,7 +577,10 @@ public void write(DataOutput out) throws IOException {
 
         synapseSummary.write(out);
 
-        out.writeUTF(activationFunction.name());
+        out.writeBoolean(activationFunction != null);
+        if(activationFunction != null) {
+            out.writeUTF(activationFunction.name());
+        }
 
         out.writeInt(outputNode.getId());
 
@@ -625,7 +637,9 @@ public void readFields(DataInput in, Model m) throws IOException {
         bias = in.readDouble();
         synapseSummary = SynapseSummary.read(in, m);
 
-        activationFunction = ActivationFunction.valueOf(in.readUTF());
+        if(in.readBoolean()) {
+            activationFunction = ActivationFunction.valueOf(in.readUTF());
+        }
 
         outputNode = m.lookupNodeProvider(in.readInt());
 

src/main/java/network/aika/neuron/Neuron.java

@@ -66,7 +66,18 @@ public Type getType() {
         return get().getType();
     }
 
-        /**
+
+    public void setType(Type t) {
+        get().setType(t);
+    }
+
+    public void setActivationFunction(ActivationFunction actF) {
+        get().setActivationFunction(actF);
+    }
+
+
+
+    /**
      * Propagate an input activation into the network.
      *
      * @param doc   The current document