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Neural Network. . 554409110024-0 554409110009-1 554409110028-1 554409110002-6 554409110035-6. . - PowerPoint PPT Presentation

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  • Neural Network

  • 554409110024-0 554409110009-1 554409110028-1 554409110002-6 554409110035-6

  • (Neural Network) (Artificial Neural Network: ANN)

  • Neural Network

    2 network synaptic ()

  • (Neuron) 100

    (Network)

  • (node)

    (network) (Layer)

    ()

  • ()

  • Software (Boundary)

  • 1. (Input) (Attribute) (weight) ()

  • 2. (Weight) (pattern) ()

  • 3. (Summation Function) input

    4. (Transformation Function) (integrate) (Transform) (Output) ()

  • 5. (Output)

    (input) ()

  • 1. (Fault Tolerance)

    2. (Generalization)

  • 3. (Adaptability)

    4. (forecasting Capability)

    ()

  • (Data Mining)

    (Tax Fraud)

    (Financial Service)

    (New Product Analysis)

  • (Airline Fare Management)

    (Signature Validation)

    ()

  • Synface UKs Royal National Institute for the Deaf (RNID) 84 %

  • ( Mark W. Tilden ) LosAlamos

    " " " ( Nervous Network) " - BEAM

  • 16 16 33 , , Layer , Simulate Simulate 0-9

  • 48 x 16 48 x 16 16 , , Layer , 48 x 16 100 x 32 300 x 100 150 Simulate Simulate

  • ? "" ""

  • ?1. 2. Organisation: ANN 3. Real Time: ANN 4.:

  • Fron ; responseand

  • 'consious' Conciousness '' 'consious' intergrated AI,

  • THE END

    *