Uses of Class
clarion.system.AbstractTrainableImplicitModule

Packages that use AbstractTrainableImplicitModule
clarion.system   
clarion.tools   
 

Uses of AbstractTrainableImplicitModule in clarion.system
 

Subclasses of AbstractTrainableImplicitModule in clarion.system
 class AbstractNeuralNet
          This class implements a three-layer, feed-forward neural network within CLARION.
 class AbstractRuntimeTrainableBPNet
          This class implements a runtime trainable backpropagating neural network within CLARION.
 class AbstractRuntimeTrainableImplicitModule
          This class implements a runtime trainable implicit module within CLARION.
 class BPNet
          This class implements a 3-layer standard backpropagating neural network within CLARION.
 class QBPNet
          This class implements a Q-learning backpropagating neural network within CLARION.
 class SimplifiedQBPNet
          This class implements a simplified Q-learning backpropagating neural network within CLARION.
 class TableLookup
          This class implements a table lookup within CLARION.
 

Uses of AbstractTrainableImplicitModule in clarion.tools
 

Methods in clarion.tools with parameters of type AbstractTrainableImplicitModule
private  void TrainableImplicitModulePreTrainer.dataRecursor(AbstractTrainableImplicitModule target, AbstractImplicitModule trainer, java.util.ListIterator<Dimension> dim, java.util.ListIterator<? extends Value> val, TrainableImplicitModulePreTrainer.SumSquaredErrorTracker sqe)
          Recursive method that iterates over the dimensions of a dimension-value collection (from the data set and trains the specified target implicit module based on the outputs from the specified trainer implicit module.
private  void TrainableImplicitModulePreTrainer.innerLoop(AbstractTrainableImplicitModule target, AbstractImplicitModule trainer, java.util.ListIterator<Dimension> dim, java.util.ListIterator<? extends Value> val, Dimension d, Value v, TrainableImplicitModulePreTrainer.SumSquaredErrorTracker sqe)
          The inner loop of the dataRecursor method.
 void TrainableImplicitModulePreTrainer.trainModule(AbstractTrainableImplicitModule target, AbstractImplicitModule trainer, java.util.Collection<? extends DimensionValueCollection> data)
          Trains the specified target implicit module using the specified training implicit module over the specified data set.