コード例 #1
0
        /// <summary>
        /// makes copy of layer of neurons
        /// </summary>
        /// <param name="copyNode"></param>
        /// <param name="topInputNode"></param>
        /// <param name="outputLength"></param>
        /// <param name="makeOnesArray"></param>
        internal LayerOfNeurons(ref LayerOfNeurons copyNode, ref AbstractNode topInputNode)
        {
            bool hasOnesArray = true;

            if (copyNode.BottomInputNode == null)
            {
                hasOnesArray = false;
            }
            this.initializer(ref topInputNode, copyNode.OutputArray.Length, copyNode.ActivationFunction, hasOnesArray);
            this.copyWeights(ref copyNode);
        }
コード例 #2
0
        /// <summary>
        /// copies over the weights from copyNode to this node
        /// </summary>
        /// <param name="copyNode"></param>
        private void copyWeights(ref LayerOfNeurons copyNode)
        {
            this.TopInputWeights = new double[copyNode.TopInputNode.OutputArray.Length, copyNode.OutputArray.Length];
            copyArray(this.TopInputWeights, copyNode.TopInputWeights, copyNode.TopInputNode.OutputArray.Length, copyNode.OutputArray.Length);


            if (this.onesInputWeights != null)
            {
                this.onesInputWeights = new double[copyNode.onesInputWeights.Length];
                copyArray(this.onesInputWeights, copyNode.onesInputWeights);
            }
            else if (this.BottomInputNode != null)
            {
                this.BottomInputWeights = new double[copyNode.BottomInputNode.OutputArray.Length, copyNode.OutputArray.Length];
                copyArray(this.BottomInputWeights, copyNode.BottomInputWeights, copyNode.BottomInputNode.OutputArray.Length, copyNode.OutputArray.Length);
            }
        }
コード例 #3
0
 /// <summary>
 /// makes copy of layer of neurons
 /// </summary>
 /// <param name="copyNode"></param>
 /// <param name="topInputNode"></param>
 /// <param name="bottomInputNode"></param>
 /// <param name="activationFun"></param>
 internal LayerOfNeurons(ref LayerOfNeurons copyNode, ref AbstractNode topInputNode, ref AbstractNode bottomInputNode)
 {
     this.initializer(ref topInputNode, ref bottomInputNode, copyNode.OutputArray.Length, copyNode.ActivationFunction);
     this.copyWeights(ref copyNode);
 }