Simon S. Haykin’s scientific contributions

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Publications (1)


Neural Networks. A Comprehensive Foundation
  • Article

January 1994

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674 Reads

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20,556 Citations

International Journal of Neural Systems

Simon S. Haykin

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R. Lippmann

Citations (1)


... Step 4: Training and optimization of the model The training of the neural network was carried out by backpropagation of the gradient, with the objective of minimizing the mean square error between the predicted outputs and the real reliability values [X, Y] [48,49]. This supervised learning method allows iteratively adjusting the weights of the neural network in order to progressively reduce the gap between the model's predictions and the historical reliability data. ...

Reference:

Ngnassi Djami Aslain Brisco OPTIMIZATION OF EQUIPMENT RELIABILITY BASED ON A NEURO-FUZZY APPROACH OPTIMIZATION OF EQUIPMENT RELIABILITY BASED ON A NEURO-FUZZY APPROACH: CASE OF A FLOUR MILL
Neural Networks. A Comprehensive Foundation
  • Citing Article
  • January 1994

International Journal of Neural Systems