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Artificial Neural network

Kevin Conaghan Inglés 5 fichas

Artificial Neural network

Fichas del conjunto (5)

  1. 1What are the applications of neural networks?-Speech Recognition
    -Image Processing and analysis
    -Processing sensor data
    -Classification of sonar and seismic data
  2. 2Why are ANN's so attractive?-Massive parrellism
    -Distributed processing
    -Learning ability
    -Generalisation ability
    -Adaptivity
    -Contextual Information Processing
    -Fault Tolerance
    -Low energy consumption
  3. 3What are ANN'S good at?-Pattern Classification
    -Clustering / categorisation
    -Function Approximation
    -Prediction / forecasting
    -Optimisation
    -Content-addressable memory
    -Control
  4. 43 layered perceptron3 layered perceptron
  5. 5What does each layer do?-Input Layer- Receives input signal and acts to fan out signal to next layer
    - Hidden Layer - Receives outputs from the input layer and process the signals by adjustment of weights
    -Output Layer - Also processes signals from hidden layer by adjustment of weights. Outputs from this layer are the outputs from the network.

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Fichas sobre Artificial Neural network, creado por Kevin Conaghan el 08/05/2018.
Creado por
Kevin Conaghan
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