reffactored and recurrent implementation

include/NeuralNetwork/BasisFunction/StreamingBasisFunction.h

@@ -0,0 +1,23 @@
+#pragma once
+
+#include <xmmintrin.h>
+
+#include "./BasisFunction.h"
+
+namespace NeuralNetwork {
+namespace BasisFunction {
+	class StreamingBasisFunction : public BasisFunction {
+		public:
+			union vec4f{
+				__m128 sse;
+				float f[4];
+			};
+
+			virtual float operator()(const std::vector<float>& weights, const std::vector<float>& input) override {
+				return computeStreaming(weights,input);
+			}
+			virtual float computeStreaming(const std::vector<float>& weights, const std::vector<float>& input) =0;
+			virtual float compute(const std::vector<float>& weights, const std::vector<float>& input) =0;
+	};
+}
+}