Neural Networks Applied to Retrocochlear Diagnosis

Callan, Daniel E.; Lasky, Robert E.; Fowler, Cynthia G.
April 1999
Journal of Speech, Language & Hearing Research;Apr1999, Vol. 42 Issue 2, p287
Academic Journal
Presents information on a study which applied neural networks to evaluate audiological tests used to predict retrochlear pathology. Methodology used; Results and discussion.


Related Articles

  • Auditory brainstem response classification for threshold detection using estimated evoked potential data: comparison with ensemble averaged data. Acır, Nurettin; Erkan, Yasemin; Bahtiyar, Yemen // Neural Computing & Applications;Apr2013, Vol. 22 Issue 5, p859 

    Auditory brainstem response (ABR) has become a routine clinical tool in neurological and audiological assessment. ABR measurement process with ensemble averaging is very time-consuming and uncomfortable for subjects due to the more repetition of single trials. This condition also restricts the...

  • Short Term Energy Forecasting with Neural Networks. McMenamin, J. Stuart; Monforte, Frank A. // Energy Journal;1998, Vol. 19 Issue 4, p43 

    Provides information on artificial neural networks. Neural network specification and terminology; Estimation approaches for neural networks; Summary statistics and test statistics for neural networks.

  • Artificial Neural Networks make their mark as a powerful tool for investors. Cheng, Wei; McClain, Bruce W. // Review of Business;Summer97, Vol. 18 Issue 4, p4 

    Presents information on Artificial Neural Networks (ANNs) investment systems, fast becoming a powerful tool for investment forecasting and achieving impressive results. Information on ANNs; Example of the success of ANN; Information on forecasting in investment decisions and its success;...

  • Think neural networks. Woelfel, Joseph // Marketing Tools;Apr/May94, Vol. 1 Issue 6, p62 

    Focuses on artificial neural network as a computer software that models some of the basic elements of the brain. Ability of artificial neural networks to recognize patterns and perform qualitative analysis; Description of artificial neural network system; Operation process; Application of...

  • Determination of cloud liquid water path over the oceans from special sensor microwave/imager... Jung, Thomas; Ruprecht, Eberhard; Wagner, Friedrich // Journal of Applied Meteorology;Aug98, Vol. 37 Issue 8, p832 

    Focuses on the observations made of a neural network (NN), developed to retrieve the cloud liquid water path (LWP). What the retrieval with NN depends on; Information on a data and radiative transfer model; Details on different neural network architectures.

  • Feedforward backpropagation neural networks in prediction of farmer risk preferences. Kastens, Terry L.; Featherstone, Allen M. // American Journal of Agricultural Economics;May96, Vol. 78 Issue 2, p400 

    Compares ordered multinomial logistic regression models with feedforward backpropagation neural network models. Prediction of logistic models; Accommodation of the models for loss functions; Empirical applications of ordered logits.

  • Predict difficult-to-measure properties with neural analyzers. Deshpande, Pradeep B.; Yerrapragada, Srinivas S. // Control Engineering;Jul97, Vol. 44 Issue 10, p55 

    Discusses the capability of artificial neural networks (ANNs) for predicting on-line process variables. Drawbacks of inferential analyzers; Basis of traditional approaches to inferential analyzers; Three layers of multilayer perception ANNs. INSET: Artificial neural networks, a review..

  • Building a better brain. Kirkwood, Craig // Australian Personal Computer;May98, Vol. 19 Issue 5, p99 

    Focuses on the technology associated with neural networks. Definition of neural networks; Information on how a neural network works; Indepth look at neural Internets. INSET: How to get your own neural network.

  • Silicon neural networks learn as they compute. Paillet, Guy // Laser Focus World;Aug96, Vol. 32 Issue 8, pS17 

    Discusses various aspects of neural networking. Parallel processing needed for real time tasking; Image recognition; Applications; Memory overview.


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics