Factors Affecting the Performance of Artificial Neural Network Models

Part of the Studies in Computational Intelligence book series (SCI, volume 103)
Artificial neural network is widely used in various fields like system’smodelling, forecasting, control, image processing and recognition, and many more. The development of multi-layered ANN model for a particular application involves many issues which affect its performance. ANN performance depends mainly upon the following factors:
  1. 1.


  2. 2.

    Problem complexity

  3. 3.

    Learning Complexity.



Hide Layer Output Layer Neural Network Model Synaptic Weight Error Surface 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

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