Optimised Training Techniques for Feedforward Neural Networks
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چکیده
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منابع مشابه
Genetically optimised feedforward neural networks for speaker identification
The problem of establishing the identity of a speaker from a given utterance has been conventionally addressed using techniques such as Gaussian Mixture Models (GMM's) that model the characteristics of a known speaker via means and covariances. In this paper we pose the task as a binary classification problem, and whilst in principle any one of a number of classifiers could be applied, this wor...
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A Bayesian-based methodology is presented which leads to a data analysis system based around a committee of radial-basis function (RBF) networks. We show that this approach enables estimatation of the uncertainty associated with system outputs. Systems with diiering numbers of internal degrees of freedom (weights) may hence be compared using training data only. Feedforward neural networks have ...
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متن کاملDEPARTMENT OF DEFENCE DEFENCE SCIENCE & TECHNOLOGY ORGANISATION DSTO Genetically Optimised Feedforward Neural Networks for Speaker Identification
The problem of establishing the identity of a speaker from a given utterance has been conventionally addressed using techniques such as Gaussian Mixture Models (GMMs) that model the characteristics of a known speaker via means and covariances. In this paper we pose the task as a binary classification problem, and whilst in principle any one of a number of classifiers could be applied, this work...
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