diff --git a/MQL5/Experts/MultiAgentTest/Core/Orchestrator.mqh b/MQL5/Experts/MultiAgentTest/Core/Orchestrator.mqh
index fd9fc5d..76ba483 100644
--- a/MQL5/Experts/MultiAgentTest/Core/Orchestrator.mqh
+++ b/MQL5/Experts/MultiAgentTest/Core/Orchestrator.mqh
@@ -1125,19 +1125,19 @@ UpdateHealth(actualReturn);
     int    WinCount()  const { return winCount; }
    
     // --- Neural Network Methods ---
-     void InitNeuralNet(int inputs, int hidden, int outputs, double dropoutRate = 0.2) {
-        if(m_neuralNet == NULL) {
-           m_neuralNet = new CNeuralNet();
-           m_trainBuffer = new NNTrainBuffer();
-        }
-        m_neuralNet.Init(inputs, hidden, outputs, 1e-4, dropoutRate);
-        m_useNeural = true;
-     }
+      void InitNeuralNet(int inputs, int hidden, int outputs, bool setUseNeural = false, double dropoutRate = 0.2) {
+         if(m_neuralNet == NULL) {
+            m_neuralNet = new CNeuralNet();
+            m_trainBuffer = new NNTrainBuffer();
+         }
+         m_neuralNet.Init(inputs, hidden, outputs, 1e-4, dropoutRate);
+         if(setUseNeural) m_useNeural = true;
+      }
 
      double TrainNN() {
         if(m_neuralNet == NULL || !m_neuralNet.IsInitialized()) {
            Print("TrainNN: rete non inizializzata. Inizializzo...");
-           InitNeuralNet(NN_FEATURES, m_nnHidden, NN_TARGETS);
+            InitNeuralNet(NN_FEATURES, m_nnHidden, NN_TARGETS, true);
         }
         if(m_trainBuffer == NULL || m_trainBuffer.Count() < 3) {
            Print("TrainNN: campioni insufficienti (", 
diff --git a/MQL5/Experts/MultiAgentTest/MultiAgentTest.mq5 b/MQL5/Experts/MultiAgentTest/MultiAgentTest.mq5
index f06d7bc..df23f97 100644
--- a/MQL5/Experts/MultiAgentTest/MultiAgentTest.mq5
+++ b/MQL5/Experts/MultiAgentTest/MultiAgentTest.mq5
@@ -95,7 +95,7 @@ orchestrator.AddAgent(new RegimeDetector("Hurst", 1.0, Inp_HurstPeriod));
           if(Inp_UseNeural) {
              Print("  NN model not found, initializing fresh network...");
           }
-          orchestrator.InitNeuralNet(8, Inp_NNHidden, 3);
+           orchestrator.InitNeuralNet(8, Inp_NNHidden, 3, Inp_UseNeural);
        }
     }