brainnet.neuralframework.xml

neural networks applications

    <member name="M:BrainNet.NeuralFramework.NetworkHelper.ClearTrainingData">
      <summary> This function will clear the training data queue  </summary>
    </member>
    <member name="P:BrainNet.NeuralFramework.NetworkHelper.TrainingDataQueue">
      <summary> Training data queue </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.NetworkSerializerException">
      <summary>
 Exception that may be thrown by NeuronStrategy class 
 </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.NetworkSerializer">
      <summary>
 The class can serialize and deserialize a neural network 
 </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.NetworkSerializer.SaveNetwork(System.String,BrainNet.NeuralFramework.INeuralNetwork)">
      <summary> The method will serialize a network to a given file as xml</summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.NetworkSerializer.FindNeuronPosition(BrainNet.NeuralFramework.INeuron,BrainNet.NeuralFramework.INeuralNetwork)">
      <summary> The method will find a neuron'''s position from the layer</summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.NetworkSerializer.LoadNetwork(System.String,BrainNet.NeuralFramework.INeuralNetwork@)">
      <summary> The method will dserialize a network from a given xml file</summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.NeuralFrameworkException">
      <summary> Exception from which other neural framework exceptions inherit </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.NeuralNetworkException">
      <summary> Exception that may be thrown by INeuralNetwork class </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.NotEnoughLayersException">
      <summary> Exception that may be thrown when there are not enough layers </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.TrainingException">
      <summary> Exception that may be thrown when training function fails </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.InvalidInputException">
      <summary> Exception that may be thrown when the number of inputs doesn'''t match number of input neurons </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.InvalidOutputException">
      <summary> Exception that may be thrown when the number of outputs doesn'''t match number of output neurons </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.RunningException">
      <summary> Exception that may be thrown when we running the neural network fails </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.NeuralNetwork">
      <summary>A generic neural network </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.NeuralNetwork.TrainNetwork(BrainNet.NeuralFramework.TrainingData)">
      <summary>Method to train a network </summary>
    </member>
    <member name="P:BrainNet.NeuralFramework.NeuralNetwork.InputLayer">
      <summary>Gets the first (input) layer</summary>
    </member>
    <member name="P:BrainNet.NeuralFramework.NeuralNetwork.OutputLayer">
      <summary>Gets the last (output) layer</summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.NeuralNetwork.ConnectNeurons(BrainNet.NeuralFramework.INeuron,BrainNet.NeuralFramework.INeuron,System.Single)">
      <summary>This function can be used for connecting two neurons together </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.NeuralNetwork.ConnectNeurons(BrainNet.NeuralFramework.INeuron,BrainNet.NeuralFramework.INeuron)">
      <summary>This function can be used for connecting two neurons together with random weight </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.NeuralNetwork.ConnectLayers(BrainNet.NeuralFramework.NeuronLayer,BrainNet.NeuralFramework.NeuronLayer)">
      <summary>This function can be used for connecting neurons in two layers together with random weights </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.NeuralNetwork.ConnectLayers">
      <summary>This function can be used for connecting all neurons in all layers together </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.NeuralNetwork.RunNetwork(System.Collections.ArrayList)">
      <summary>This function may be used for running the network. It returns the output list </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.NeuralNetwork.GetOutput">
      <summary>This function may be used to obtain the output vector </summary>
    </member>
    <member name="P:BrainNet.NeuralFramework.NeuralNetwork.Layers">
      <summary>This property returns the Output layer </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.NeuralNetworkCollection">
      <summary>A collection of neural networks </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.StrategyNotInitializedException">
      <summary> Exception that may be thrown when the strategy is not initialized </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.Neuron">
      <summary>A concrete implementation of INeuron </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.Neuron.#ctor">
      <summary> Default constructor</summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.Neuron.#ctor(BrainNet.NeuralFramework.INeuronStrategy)">
      <summary> A constructor to initialize a neuron with its strategy </summary>
    </member>
    <member name="P:BrainNet.NeuralFramework.Neuron.BiasValue">
      <summary> Gets the current bias this neuron</summary>
    </member>
    <member name="P:BrainNet.NeuralFramework.Neuron.OutputValue">
      <summary> Gets the current output of this neuron</summary>
    </member>
    <member name="P:BrainNet.NeuralFramework.Neuron.DeltaValue">
      <summary> Gets the current delta value of this neuron</summary>
    </member>
    <member name="P:BrainNet.NeuralFramework.Neuron.Inputs">
      <summary> Gets a list of neurons connected to this neuron </summary>
    </member>
    <member name="P:BrainNet.NeuralFramework.Neuron.Strategy">
      <summary> Gets or Sets the strategy of this neuron </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.Neuron.UpdateDelta(System.Single)">
      <summary> Calculate the error value </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.Neuron.UpdateOutput">
      <summary> Calculate the output </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.Neuron.UpdateFreeParams">
      <summary> Calculate the free parameters </summary>
    </member>
    <member name="P:BrainNet.NeuralFramework.Neuron.ForwardConnections">
      <summary> Returns a list of all neurons to which this neuron is connected </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.NeuronCollection">
      <summary>A collection of INeurons </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.NeuronConnections">
      <summary>This is a hashtable to keep track of all neurons connected to a neuron, 
 and its related weights</summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.NeuronConnections.WeightMapping">
      <summary>This class wraps a weight value holded by a neuron </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.NeuronLayer">
      <summary>A neuron layer, which is basically a collection of neurons</summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.NeuronLayerCollection">
      <summary>A collection of Neuron Layers </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.NeuralXML.InterpreterException">
      <summary> Exception thrown when there is a problem in interpreter </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.NeuralXML.NXMLInterpreter">
      <summary>Neural XML Interpreter </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.NeuralXML.NXMLInterpreter.Load(System.String)">
      <summary>Interpret a neural xml file</summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.NeuralXML.NXMLInterpreter.Save(System.String,BrainNet.NeuralFramework.NeuralXML.DataModel.NXML)">
      <summary>Save the nxml file</summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.NeuralXML.NXMLInterpreter.Interpret(System.String)">
      <summary>Start Interpretation of the document</summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.PatternProcessingHelper">
      <summary> The class provides some basic image processing methods 
and conversions required for neural network image processing  </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.PatternProcessingHelper.ArrayListFromPattern(System.String)">
      <summary> Convert a binary string to an arraylist </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.PatternProcessingHelper.PatternFromArraylist(System.Collections.ArrayList)">
      <summary> Convert an arraylist by rounding each value to a pattern of 0s and 1s </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.PatternProcessingHelper.NumberFromArraylist(System.Collections.ArrayList)">
      <summary> Convert an arraylist by rounding each value to a pattern of 0s and 1s </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.PatternProcessingHelper.CharFromArraylist(System.Collections.ArrayList)">
      <summary> Convert an arraylist to a character </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.PatternProcessingHelper.ArrayListFromChar(System.String)">
      <summary>Arraylist to a character </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.PatternProcessingHelper.ArrayListFromNumber(System.Int64,System.Int64)">
      <summary> Convert a binary string to an arraylist </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.PatternProcessingHelper.NumberFromPattern(System.String)">
      <summary> Convert a binary string to decimal value </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.PatternProcessingHelper.PatternFromNumber(System.Int32,System.Int64)">
      <summary> Get an string pattern of 0s and 1s corresponding to a value. Eg. 1 
will be converted to 01, 2 to 10 and so on </summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.TrainingData">
      <summary>
This class provides a vector consists of inputs and outputs, for training 
 the network 
</summary>
    </member>
    <member name="T:BrainNet.NeuralFramework.TrainigDataCollection">
      <summary>
This class is can hold a collection of training data objects 
 </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.Utility.Rand">
      <summary>Function used to generate a random number </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.Utility.PrintArr(System.String,System.Collections.ArrayList)">
      <summary>Print an array </summary>
    </member>
    <member name="M:BrainNet.NeuralFramework.Utility.Report(System.Windows.Forms.ListView,BrainNet.NeuralFramework.INeuralNetwork)">
      <summary>This function can be used to report the status of a neural network to a listview </summary>
    </member>
  </members>
</doc>