Uses of Package
network.aika.lattice
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Packages that use network.aika.lattice Package Description network.aika network.aika.lattice network.aika.lattice.activation network.aika.lattice.refinement network.aika.neuron -
Classes in network.aika.lattice used by network.aika Class Description Node TheNodeclass is the abstract class for all the boolean logic nodes underneath the neural network layer.NodeActivation NodeQueue -
Classes in network.aika.lattice used by network.aika.lattice Class Description AndNode.Entry Node TheNodeclass is the abstract class for all the boolean logic nodes underneath the neural network layer.NodeActivation -
Classes in network.aika.lattice used by network.aika.lattice.activation Class Description AndNode TheInputNodeand theAndNodeclasses together form a pattern lattice, containing all possible substructures of any given conjunction.InputNode TheInputNodeclass is the input layer for the boolean logic.NodeActivation OrNode While several neurons might share a the same input-node or and-node, there is always a always a one-to-one relation between or-nodes and neurons. -
Classes in network.aika.lattice used by network.aika.lattice.refinement Class Description AndNode TheInputNodeand theAndNodeclasses together form a pattern lattice, containing all possible substructures of any given conjunction.InputNode TheInputNodeclass is the input layer for the boolean logic.Node TheNodeclass is the abstract class for all the boolean logic nodes underneath the neural network layer.OrNode While several neurons might share a the same input-node or and-node, there is always a always a one-to-one relation between or-nodes and neurons. -
Classes in network.aika.lattice used by network.aika.neuron Class Description InputNode TheInputNodeclass is the input layer for the boolean logic.OrNode While several neurons might share a the same input-node or and-node, there is always a always a one-to-one relation between or-nodes and neurons.