[ANN] element index

All elements
a c d e f g i l m n o p r s t v _
_
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__construct
__construct
__construct
__construct
__construct
__construct
ANN_Classification::__construct() in Classification.php
__construct
__construct
__construct
__construct
__destruct
__destruct
__destruct
__invoke
ANN_StringValue::__invoke() in StringValue.php
__invoke
ANN_Classification::__invoke() in Classification.php
__wakeup
Unserializing ANN_Values
__wakeup
__wakeup
ANN_StringValue::__wakeup() in StringValue.php
a
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activate
activate
activate
addClassifier
adjustWeights
adjustWeights
ANN_Classification
ANN_Classification in Classification.php
ANN_Filesystem
ANN_Filesystem in Filesystem.php
ANN_InputValue
ANN_InputValue in InputValue.php
ANN_Layer
ANN_Layer in Layer.php
ANN_Loader
ANN_Loader in Loader.php
Artificial Neural Network - Version 2.1
ANN_Logging
ANN_Logging in Logging.php
ANN_Maths
ANN_Maths in Maths.php
ANN_Network
ANN_Network in Network.php
ANN_NetworkGraph
ANN_NetworkGraph in NetworkGraph.php
ANN_Neuron
ANN_Neuron in Neuron.php
ANN_OutputValue
ANN_OutputValue in OutputValue.php
ANN_Server
ANN_Server in Server.php
ANN_StringValue
ANN_StringValue in StringValue.php
ANN_Values
ANN_Values in Values.php
autoload
ANN_Exception
ANN_Exception in Exception.php
Exception
c
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calculateHiddenDeltas
calculateImageHeight
calculateImageWidth
calculateInputValue
calculateInputValues
calculateMaxTrainingLoops
calculateOutputDeltas
calculateOutputValue
calculateOutputValues
calculateYPosStart
checkLogin
Classification.php
Classification.php in Classification.php
createHiddenLayers
createImage
createMapping
createNeurons
createOutputLayer
createSimilarityMapping
d
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detectOutputType
drawConnections
drawConnectionsHiddenOutput
drawConnectionsHiddens
drawConnectionsInputHidden
drawHiddenNeurons
drawInputNeurons
drawNetwork
drawOutputNeurons
e
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Exception.php
Exception.php in Exception.php
f
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Filesystem.php
Filesystem.php in Filesystem.php
g
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getCountInputs
getDefaultFilename
getDelta
getImage
ANN_NetworkGraph::getImage() in NetworkGraph.php
Returns PNG image
getInputsArray
Get internal saved input array
getInputValue
getInputValue
getMapping
getNetworkError
getNeurons
getNeuronsCount
getNextIndexInputsToTrain
getNumberHiddenLayers
getNumberHiddens
getNumberInputs
getNumberOutputs
getOutput
getOutputs
Get the output values
getOutputs
getOutputsArray
Get internal saved output array
getOutputsByInputKey
getOutputValue
getOutputValue
getRealOutputValue
getRealOutputValue
getThresholdOutputs
getTotalLoops
getWeight
getWeights
i
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initializeWeights
input
ANN_Values::input() in Values.php
Input values
InputValue.php
InputValue.php in InputValue.php
isEpoch
ANN_Network::isEpoch() in Network.php
isHeader
isTrainingComplete
isTrainingCompleteByEpoch
isTrainingCompleteByInputKey
l
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Layer.php
Layer.php in Layer.php
Loader.php
Loader.php in Loader.php
loadFromFile
loadFromFile
loadFromHost
loadFromHost
logData
ANN_Logging::logData() in Logging.php
Logging.php
Logging.php in Logging.php
logHeader
logNetworkErrors
logNetworkErrorsToFile
Log network errors while training in CSV format
logWeights
logWeightsToFile
Log weights while training in CSV format
m
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Maths.php
Maths.php in Maths.php
n
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Network.php
Network.php in Network.php
NetworkGraph.php
NetworkGraph.php in NetworkGraph.php
Neuron.php
Neuron.php in Neuron.php
o
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onPost
ANN_Server::onPost() in Server.php
ordUTF8
ANN_StringValue::ordUTF8() in StringValue.php
output
ANN_Values::output() in Values.php
Output values
OutputValue.php
OutputValue.php in OutputValue.php
OUTPUT_BINARY
Binary output type
OUTPUT_LINEAR
Linear output type
p
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printImage
ANN_NetworkGraph::printImage() in NetworkGraph.php
Print PNG image
printNetwork
printNetwork
printNetworkDetails1
printNetworkDetails2
r
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random
ANN_Maths::random() in Maths.php
removeSpecialCharacters
reset
ANN_Values::reset() in Values.php
Reset saved input and output values
s
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saveToFile
saveToFile
ANN_NetworkGraph::saveToFile() in NetworkGraph.php
Saves PNG image
saveToFile
saveToHost
saveToHost
SEPARATOR
ANN_Logging::SEPARATOR in Logging.php
Server.php
Server.php in Server.php
setBackground
setColors
ANN_NetworkGraph::setColors() in NetworkGraph.php
setDelta
setFilename
setInputs
setInputs
setInputs
setInputsToTrain
setLearningRate
Setting the learning rate
setMaxTrainingLoopsFactor
setOutputErrorTolerance
Setting the percentage of output error in comparison to the desired output
setOutputs
setOutputType
setValues
Set Values for training or using network
sigmoid
StringValue.php
StringValue.php in StringValue.php
t
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tangensHyperbolicus
threshold
train
ANN_Values::train() in Values.php
train
ANN_Network::train() in Network.php
trainByHost
trainByHost
training
v
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Values.php
Values.php in Values.php
a c d e f g i l m n o p r s t v _