Abstract
The DSM network of Chapter 2 and the training algorithm derived in Chapter 3 are applied to the benchmark problems described in Chapter 4. A state-space plot of the network predictions allows the attainment of a deeper understanding of the training process. For the double-well problem, the prediction performance of the DSM network is compared with different alternative approaches, and is found to achieve results comparable to those of the best alternative schemes applied to this problem.
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© 1999 Springer-Verlag London Limited
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Husmeier, D. (1999). Demonstration of the Model Performance on the Benchmark Problems. In: Neural Networks for Conditional Probability Estimation. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0847-4_5
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DOI: https://doi.org/10.1007/978-1-4471-0847-4_5
Publisher Name: Springer, London
Print ISBN: 978-1-85233-095-8
Online ISBN: 978-1-4471-0847-4
eBook Packages: Springer Book Archive