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1998 | OriginalPaper | Buchkapitel

The Evolution of a Feedforward Neural Network trained under Backpropagation

verfasst von : D. McLean, Z. Bandar, J. D. O’Shea

Erschienen in: Artificial Neural Nets and Genetic Algorithms

Verlag: Springer Vienna

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This paper presents a theoretical and empirical analysis of the evolution of a feedforward neural network (FFNN) trained using backpropagation (BP). The results of two sets of experiments axe presented which illustrate the nature of BP’s search through weight space as the network learns to classify the training data. The search is shown to be driven by the initial values of the weights in the output layer of neurons.

Metadaten
Titel
The Evolution of a Feedforward Neural Network trained under Backpropagation
verfasst von
D. McLean
Z. Bandar
J. D. O’Shea
Copyright-Jahr
1998
Verlag
Springer Vienna
DOI
https://doi.org/10.1007/978-3-7091-6492-1_114

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