public void trainingStep(int ability, ref int pass) { pass++; // 1. initiating ability state = stAbilityExecuting; // storing chosen ability LastUsedAbility = ability; // storing current input vectors LastInputVecs = Cart.makeInputVector(); // finding the input vector for the top node TopNodeInput = new double[Cart.CogTop.InputNum]; int i; for (i = 0; i < Cart.CogTop.InputNum; i++) { TopNodeInput[i] = MetaNode.getOutput(Cart.CogTop.Children[i], LastInputVecs, pass); } // now training double[] DesiredOutputVec = STANN.mapInt2VectorDouble(ability, 2, Cart.CogTop.stann.OutputNum); // training 6 times for (i = 0; i < 6; i++) { Cart.CogTop.stann.backPropagate(TopNodeInput, DesiredOutputVec); } // executing ability now.. Cart.useAbility((t_CartAbility)ability); }
public void transitionAction(ref System.Windows.Forms.Panel panel, System.Windows.Forms.TextBox[] texts, ref int pass) { switch (state) { case stIdle: // nothing break; case stSonarFiring: if (Cart.flagSonarArrayFiringDone) { Cart.flagSonarArrayFiringDone = false; // changing state state = stSonarDataTransmission; Cart.requestSensorData(); } break; case stSonarDataTransmission: if (Cart.flagSensorDataAcquired) { Cart.fillSonarTextBoxes(texts); state = stFrameTransmission; Cart.retrieveAbstraction(); } break; case stFrameTransmission: if (Cart.flagAbstractionReady) { Cart.drawAbstraction(panel); state = stAbilityExecuting; // running the cognitive array now double[][] inputVecs = Cart.makeInputVector(); pass++; int output = (int)MetaNode.getOutput(Cart.CogTop, inputVecs, pass); if (output < 11) { Cart.useAbility((t_CartAbility)output); } else { state = stIdle; } } break; case stAbilityExecuting: if (Cart.flagAbilityDone) { Cart.flagAbilityDone = false; state = stIdle; } break; } }