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C# BasicNetwork.GetWeight方法代码示例

本文整理汇总了C#中BasicNetwork.GetWeight方法的典型用法代码示例。如果您正苦于以下问题:C# BasicNetwork.GetWeight方法的具体用法?C# BasicNetwork.GetWeight怎么用?C# BasicNetwork.GetWeight使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在BasicNetwork的用法示例。


在下文中一共展示了BasicNetwork.GetWeight方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C#代码示例。

示例1: AnalyzeNetwork

        /// <summary>
        /// Construct a network analyze class. Analyze the specified network.
        /// </summary>
        ///
        /// <param name="network">The network to analyze.</param>
        public AnalyzeNetwork(BasicNetwork network)
        {
            int assignDisabled = 0;
            int assignedTotal = 0;
            IList<Double> biasList = new List<Double>();
            IList<Double> weightList = new List<Double>();
            IList<Double> allList = new List<Double>();

            for (int layerNumber = 0; layerNumber < network.LayerCount - 1; layerNumber++)
            {

                int fromCount = network.GetLayerNeuronCount(layerNumber);
                int fromBiasCount = network
                    .GetLayerTotalNeuronCount(layerNumber);
                int toCount = network.GetLayerNeuronCount(layerNumber + 1);

                // weights
                for (int fromNeuron = 0; fromNeuron < fromCount; fromNeuron++)
                {
                    for (int toNeuron = 0; toNeuron < toCount; toNeuron++)
                    {
                        double v = network.GetWeight(layerNumber, fromNeuron,
                                                     toNeuron);

                        if (network.Structure.ConnectionLimited )
                        {
                            if (Math.Abs(v) < network.Structure.ConnectionLimit )
                            {
                                assignDisabled++;
                            }
                        }

                        weightList.Add(v);
                        allList.Add(v);
                        assignedTotal++;
                    }
                }

                // bias
                if (fromCount != fromBiasCount)
                {
                    int biasNeuron = fromCount;
                    for (int toNeuron = 0; toNeuron < toCount; toNeuron++)
                    {
                        double v = network.GetWeight(layerNumber, biasNeuron,
                                                       toNeuron);
                        if (network.Structure.ConnectionLimited)
                        {
                            if (Math.Abs(v) < network.Structure.ConnectionLimit)
                            {
                                assignDisabled++;
                            }
                        }

                        biasList.Add(v);
                        allList.Add(v);
                        assignedTotal++;
                    }
                }
            }

            _disabledConnections = assignDisabled;
            _totalConnections = assignedTotal;
            _weights = new NumericRange(weightList);
            _bias = new NumericRange(biasList);
            _weightsAndBias = new NumericRange(allList);
            _weightValues = EngineArray.ListToDouble(weightList);
            _allValues = EngineArray.ListToDouble(allList);
            _biasValues = EngineArray.ListToDouble(biasList);
        }
开发者ID:benw408701,项目名称:MLHCTransactionPredictor,代码行数:75,代码来源:AnalyzeNetwork.cs

示例2: AnalyzeNetwork

        /// <summary>
        /// Construct a network analyze class. Analyze the specified network.
        /// </summary>
        ///
        /// <param name="network">The network to analyze.</param>
        public AnalyzeNetwork(BasicNetwork network)
        {
            IList<Double> biasList = new List<Double>();
            IList<Double> weightList = new List<Double>();
            IList<Double> allList = new List<Double>();

            for (int layerNumber = 0; layerNumber < network.LayerCount - 1; layerNumber++)
            {
                int fromCount = network.GetLayerNeuronCount(layerNumber);
                int fromBiasCount = network
                    .GetLayerTotalNeuronCount(layerNumber);
                int toCount = network.GetLayerNeuronCount(layerNumber + 1);

                // weights
                for (int fromNeuron = 0; fromNeuron < fromCount; fromNeuron++)
                {
                    for (int toNeuron = 0; toNeuron < toCount; toNeuron++)
                    {
                        double v = network.GetWeight(layerNumber, fromNeuron,
                                                     toNeuron);
                        weightList.Add(v);
                        allList.Add(v);
                    }
                }

                // bias
                if (fromCount != fromBiasCount)
                {
                    int biasNeuron = fromCount;
                    for (int toNeuron = 0; toNeuron < toCount; toNeuron++)
                    {
                        double v = network.GetWeight(layerNumber, biasNeuron,
                                                       toNeuron);
                        biasList.Add(v);
                        allList.Add(v);
                    }
                }
            }

            _disabledConnections = 0;
            _totalConnections = 0;
            _weights = new NumericRange(weightList);
            _bias = new NumericRange(biasList);
            _weightsAndBias = new NumericRange(allList);
            _weightValues = EngineArray.ListToDouble(weightList);
            _allValues = EngineArray.ListToDouble(allList);
            _biasValues = EngineArray.ListToDouble(biasList);
        }
开发者ID:OperatorOverload,项目名称:encog-cs,代码行数:53,代码来源:AnalyzeNetwork.cs


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