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pl-nk v0.4.5
Plonk|Plink|Plank are a set of cross-platform C/C++ frameworks for audio software development
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00001 /* 00002 ------------------------------------------------------------------------------- 00003 This file is part of the Plink, Plonk, Plank libraries 00004 by Martin Robinson 00005 00006 http://code.google.com/p/pl-nk/ 00007 00008 Copyright University of the West of England, Bristol 2011-14 00009 All rights reserved. 00010 00011 Redistribution and use in source and binary forms, with or without 00012 modification, are permitted provided that the following conditions are met: 00013 00014 * Redistributions of source code must retain the above copyright 00015 notice, this list of conditions and the following disclaimer. 00016 * Redistributions in binary form must reproduce the above copyright 00017 notice, this list of conditions and the following disclaimer in the 00018 documentation and/or other materials provided with the distribution. 00019 * Neither the name of University of the West of England, Bristol nor 00020 the names of its contributors may be used to endorse or promote products 00021 derived from this software without specific prior written permission. 00022 00023 THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND 00024 ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED 00025 WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE 00026 DISCLAIMED. IN NO EVENT SHALL UNIVERSITY OF THE WEST OF ENGLAND, BRISTOL BE 00027 LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR 00028 CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE 00029 GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) 00030 HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT 00031 LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT 00032 OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00033 00034 This software makes use of third party libraries. For more information see: 00035 doc/license.txt included in the distribution. 00036 00037 ------------------------------------------------------------------------------- 00038 00039 */ 00040 00041 #ifndef PLANK_NEURALLAYER_H 00042 #define PLANK_NEURALLAYER_H 00043 00044 #include "../json/plank_JSON.h" 00045 #include "../../containers/plank_DynamicArray.h" 00046 #include "plank_NeuralCommon.h" 00047 #include "plank_NeuralNode.h" 00048 #include "plank_NeuralNetwork.h" 00049 00050 #define PLANK_NEURALLAYERF_JSON_TYPE "plank::NeuralLayerF" 00051 #define PLANK_NEURALLAYERF_JSON_VERSION 0, 1, 1, 0 00052 #define PLANK_NEURALLAYERF_JSON_NODES "nodes" 00053 00054 PLANK_BEGIN_C_LINKAGE 00055 00063 #if DOXYGEN 00064 00065 typedef struct PlankNeuralLayerF* PlankNeuralLayerFRef; 00066 #endif 00067 00074 PlankResult pl_NeuralLayerF_InitNumNodesAndPrevious (PlankNeuralLayerFRef p, PlankNeuralNetworkFRef network, const int numNodes, const int numPreviousNodes); 00075 PlankResult pl_NeuralLayerF_InitNumNodesPreviousWithRange (PlankNeuralLayerFRef p, PlankNeuralNetworkFRef network, const int numNodes, const int numPreviousNodes, const float range); 00076 00080 PlankResult pl_NeuralLayerF_DeInit (PlankNeuralLayerFRef p); 00081 00082 PlankResult pl_NeuralLayerF_Reset (PlankNeuralLayerFRef p, const float amount); 00083 PlankResult pl_NeuralLayerF_Randomise (PlankNeuralLayerFRef p, const float amount); 00084 PlankResult pl_NeuralLayerF_SetNode (PlankNeuralLayerFRef p, const int nodeIndex, const float* weights, const float threshold); 00085 PlankResult pl_NeuralLayerF_SetThreshold (PlankNeuralLayerFRef p, const int nodeIndex, const float threshold); 00086 PlankResult pl_NeuralLayerF_SetWeight (PlankNeuralLayerFRef p, const int nodeIndex, const int weightIndex, const float weight); 00087 PlankResult pl_NeuralLayerF_GetNode (PlankNeuralLayerFRef p, const int nodeIndex, float* weights, float* threshold); 00088 PlankResult pl_NeuralLayerF_Propogate (PlankNeuralLayerFRef p, const float* inputs); 00089 PlankResult pl_NeuralLayerF_BackProp (PlankNeuralLayerFRef p, const float* errors, const float actFuncOffset, const float learnRate); 00090 PlankResult pl_NeuralLayerF_GetOutputs (PlankNeuralLayerFRef p, float* outputs); 00091 const float* pl_NeuralLayerF_GetOutputsPtr (PlankNeuralLayerFRef p); 00092 const float* pl_NeuralLayerF_GetAdjustPtr (PlankNeuralLayerFRef p); 00093 int pl_NeuralLayerF_GetNumInputs (PlankNeuralLayerFRef p); 00094 int pl_NeuralLayerF_GetNumOutputs (PlankNeuralLayerFRef p); 00095 PlankResult pl_NeuralLayerF_ToJSON (PlankNeuralLayerFRef p, PlankJSONRef j, const PlankB useBinary); 00096 PlankResult pl_NeuralLayerF_InitFromJSON (PlankNeuralLayerFRef p, PlankNeuralNetworkFRef network, PlankJSONRef j); 00097 00098 00099 00100 00101 PLANK_END_C_LINKAGE 00102 00103 #if !DOXYGEN 00104 typedef struct PlankNeuralLayerF 00105 { 00106 PlankDynamicArray nodes; 00107 PlankDynamicArray outputVector; 00108 PlankDynamicArray inputVector; 00109 PlankDynamicArray adjustVector; 00110 } PlankNeuralLayerF; 00111 #endif 00112 00113 00114 #endif // PLANK_NEURALLAYER_H 00115 00116