Titlebook: Artificial Neural Networks in Biomedicine; Paulo J. G. Lisboa,Emmanuel C. Ifeachor,Piotr S. S Book 2000 Springer-Verlag London 2000 Elektr

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https://doi.org/10.1007/BFb0107931, Kentucky, USA, Pacific Northwest National Laboratory has applied artificial neural networks to advance the analytical technology required to perform computer-based assessments of adequacy of intraoperative anaesthesia.

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The physics of Czochralski crystal growth,e theoretical basis of ICA, outline an approach to non-stationary ICA, and describe a number of biomedical case studies. ICA is discussed in the framework of general linear models, which permits comparison with less general methods, such as principal components analysis, and with flexible models, such as neural networks.

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Neurometric Assessment of Adequacy of Intraoperative Anaesthetic, Kentucky, USA, Pacific Northwest National Laboratory has applied artificial neural networks to advance the analytical technology required to perform computer-based assessments of adequacy of intraoperative anaesthesia.

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Independent Components Analysise theoretical basis of ICA, outline an approach to non-stationary ICA, and describe a number of biomedical case studies. ICA is discussed in the framework of general linear models, which permits comparison with less general methods, such as principal components analysis, and with flexible models, such as neural networks.

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The Bayesian Paradigm: Second Generation Neural Computinge. Recent advances in neural networks have been fuelled by the adoption of this Bayesian framework, either implicitly, for example through the use of committees, or explicitly through Bayesian evidence and sampling frameworks. In this chapter, we show how this ‘second generation’ of neural network t

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