|
||||||||||
PREV NEXT | FRAMES NO FRAMES |
Packages that use Synapse | |
---|---|
org.joone.engine | |
org.joone.engine.learning | |
org.joone.io | |
org.joone.structure | |
org.joone.util |
Uses of Synapse in org.joone.engine |
---|
Subclasses of Synapse in org.joone.engine | |
---|---|
class |
BufferedSynapse
This class implements a synapse that permits to have asynchronous methods to write output patterns. |
class |
DelaySynapse
This Synapse connects the N input neurons with the M output neurons using a matrix of FIRFilter elements of size NxM. |
class |
DirectSynapse
This is forward-only synapse. |
class |
FreudRuleFullSynapse
Deprecated. possible bug in implementation |
class |
FullSynapse
|
class |
KohonenSynapse
This is an unsupervised Kohonen Synapse which is a Self Organising Map. |
class |
RbfInputSynapse
The synapse to the input of a radial basis function layer should't provide a single value to every neuron in the output (RBF) layer, as is usual the case. |
class |
SangerSynapse
This is the synapse useful to extract the principal components from an input data set. |
Fields in org.joone.engine declared as Synapse | |
---|---|
protected Synapse |
RTRLLearnerPlugin.errorPatternListener
The synapse we will use to catch the errors |
protected Synapse |
EKFRNNLearnerPlugin.errorPatternListener
The synapse we will use to catch the errors |
protected Synapse |
EKFFFNLearnerPlugin.errorPatternListener
The synapse that we will attach in order to catch the error |
protected Synapse |
RTRLLearnerFactory.Weight.synapse
The joone synapse which is used if this weight is a normal synaptical weight |
Constructors in org.joone.engine with parameters of type Synapse | |
---|---|
RTRLLearnerFactory.Weight(Synapse synapse,
int i,
int j,
int K)
Initialise this weight from a joone synapse. |
Uses of Synapse in org.joone.engine.learning |
---|
Subclasses of Synapse in org.joone.engine.learning | |
---|---|
class |
AbstractTeacherSynapse
This class provides a framework to extend in order to implement various teachers, just by overriding or implementing certain functions different functionality can easily implemented. |
class |
ComparisonSynapse
Final element of a neural network; it permits to compare the outcome of the neural net and the input patterns from a StreamInputSynapse connected to the 'desired' property. |
class |
FahlmanTeacherSynapse
This class extends the normal Teacher synapse and implements the Fahlman 40-20-40 criterion (the values can be changed). |
class |
TeacherSynapse
Final element of a neural network; it permits to calculate both the error of the last training cycle and the vector containing the error pattern to apply to the net to calculate the backprop algorithm. |
Uses of Synapse in org.joone.io |
---|
Subclasses of Synapse in org.joone.io | |
---|---|
class |
FileInputSynapse
Allows data to be presented to the network from a file. |
class |
FileOutputSynapse
|
class |
ImageInputSynapse
This synapse collects data from Image files or Image objects and feeds the data from the Images into the Neural network. |
class |
ImageOutputSynapse
This class collects the output from the connected layer and places it into an image file. |
class |
InputConnector
|
class |
InputSwitchSynapse
This class acts as a switch that can connect its output to one of its connected input synapses. |
class |
JDBCInputSynapse
The JDBCInputSynapse provides support for data extraction from a database. |
class |
JDBCOutputSynapse
The JDBCOutputSynapse provides support for data input to a database. |
class |
MemoryInputSynapse
|
class |
MemoryOutputSynapse
|
class |
MultipleInputSynapse
This class reads sequentially all the connected input synapses, in order to be able to use multiple sources as inputs. |
class |
StreamInputSynapse
|
class |
StreamOutputSynapse
|
class |
URLInputSynapse
Allows data extraction from the internet or a file specified by a Universal Resource Locator or URL. |
class |
XLSInputSynapse
This class allows data to be presented to the network from an Excel XLS formatted file. |
class |
XLSOutputSynapse
This class allows data to be read from an Excel XLS formatted file. |
class |
YahooFinanceInputSynapse
The YahooFinanceInputSynapse provides support for financial data input from financial markets. |
Uses of Synapse in org.joone.structure |
---|
Subclasses of Synapse in org.joone.structure | |
---|---|
(package private) class |
PatternForwardedSynapse
This class/synapse is only used to inform a Nakayama object whenever a single patterns has been forwarded through the network. |
Fields in org.joone.structure declared as Synapse | |
---|---|
protected Synapse |
NodesAndWeights.Weight.synapse
The joone synapse which is used if this weight is a normal synaptical weight |
Methods in org.joone.structure with parameters of type Synapse | |
---|---|
protected Layer |
Nakayama.findInputLayer(Synapse aSynapse)
Finds the input layer of a synapse. |
protected Layer |
Nakayama.findOutputLayer(Synapse aSynapse)
Finds the output layer of a synapse. |
Constructors in org.joone.structure with parameters of type Synapse | |
---|---|
NodesAndWeights.Weight(Synapse synapse,
int i,
int j,
int I,
int J)
Initialise this weight from a joone synapse. |
Uses of Synapse in org.joone.util |
---|
Subclasses of Synapse in org.joone.util | |
---|---|
class |
LearningSwitch
This class is useful to switch the input data set of a neural network from a training set to a validation set depending on the 'validation' parameter contained in the Monitor object. |
|
||||||||||
PREV NEXT | FRAMES NO FRAMES |