Trait/Object

fr.iscpif.mgo.tools.neuralnetwork

NeuralNetwork

Related Docs: object NeuralNetwork | package neuralnetwork

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trait NeuralNetwork[N, S, W] extends AnyRef

N

the type of data stored on each neurons

S

the neurons output type (state)

W

the weights type

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Abstract Value Members

  1. abstract def inputNeurons: Vector[Int]

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  2. abstract def network: Network[N, W] with DirectedEdges[W]

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  3. abstract def outputNeurons: Vector[Int]

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  4. abstract def state: IndexedSeq[S]

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Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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  9. final def getClass(): Class[_]

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  10. def hashCode(): Int

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  11. def inputsAndWeights(neuron: Int, state: IndexedSeq[S]): Vector[(S, W)]

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  12. final def isInstanceOf[T0]: Boolean

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  13. final def ne(arg0: AnyRef): Boolean

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  16. def outNeighbours(neuron: Int): Vector[Int]

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  17. def outputState(state: IndexedSeq[S]): Vector[S]

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  18. final def synchronized[T0](arg0: ⇒ T0): T0

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  19. def toString(): String

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  20. def updateState(state: Traversable[S], neuronsValues: Traversable[(Int, S)]): Vector[S]

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  21. final def wait(): Unit

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  22. final def wait(arg0: Long, arg1: Int): Unit

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  23. final def wait(arg0: Long): Unit

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