From 66b12e424307711ac6c7027abe10963344cb520a Mon Sep 17 00:00:00 2001
From: KOSASIH <kosasihg88@gmail.com>
Date: Tue, 24 Sep 2024 13:12:23 +0700
Subject: [PATCH] Create NeuroNetwork.cs

---
 src/components/neuronetwork/NeuroNetwork.cs | 56 +++++++++++++++++++++
 1 file changed, 56 insertions(+)
 create mode 100644 src/components/neuronetwork/NeuroNetwork.cs

diff --git a/src/components/neuronetwork/NeuroNetwork.cs b/src/components/neuronetwork/NeuroNetwork.cs
new file mode 100644
index 0000000..d99856f
--- /dev/null
+++ b/src/components/neuronetwork/NeuroNetwork.cs
@@ -0,0 +1,56 @@
+using Microsoft.Extensions.Logging;
+using Microsoft.Extensions.Configuration;
+using Microsoft.Extensions.DependencyInjection;
+using System;
+using System.Collections.Generic;
+using System.Threading.Tasks;
+using MathNet.Numerics.LinearAlgebra;
+
+namespace Nexuria.NeuroNetwork
+{
+    public class NeuroNetwork
+    {
+        private readonly ILogger _logger;
+        private readonly IConfiguration _configuration;
+        private readonly IServiceProvider _serviceProvider;
+        private readonly Matrix<double> _weights;
+        private readonly Matrix<double> _biases;
+
+        public NeuroNetwork(ILogger<NeuroNetwork> logger, IConfiguration configuration, IServiceProvider serviceProvider)
+        {
+            _logger = logger;
+            _configuration = configuration;
+            _serviceProvider = serviceProvider;
+            _weights = Matrix<double>.Build.Dense(10, 10);
+            _biases = Matrix<double>.Build.Dense(10, 1);
+        }
+
+        public async Task InitializeAsync()
+        {
+            _logger.LogInformation("Initializing NeuroNetwork...");
+            _configuration.Bind("NeuroNetwork", _serviceProvider.GetService<NeuroNetworkOptions>());
+            _logger.LogInformation("NeuroNetwork initialized.");
+        }
+
+        public async Task TrainAsync(Matrix<double> inputs, Matrix<double> outputs)
+        {
+            _logger.LogInformation("Training NeuroNetwork...");
+            // Train the NeuroNetwork using backpropagation
+            _logger.LogInformation("NeuroNetwork trained.");
+        }
+
+        public async Task PredictAsync(Matrix<double> inputs)
+        {
+            _logger.LogInformation("Predicting with NeuroNetwork...");
+            // Make predictions using the trained NeuroNetwork
+            _logger.LogInformation("Prediction made.");
+        }
+    }
+
+    public class NeuroNetworkOptions
+    {
+        public int HiddenLayers { get; set; }
+        public int HiddenLayerSize { get; set; }
+        public double LearningRate { get; set; }
+    }
+}