Noisy Training
Mostrando 1-9 de 9 artigos, teses e dissertações.
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1. Effects of auditory training in individuals with high-frequency hearing loss
OBJECTIVE: To determine the effects of a formal auditory training program on the behavioral, electrophysiological and subjective aspects of auditory function in individuals with bilateral high-frequency hearing loss.
Clinics. Publicado em: 2014
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2. Formal auditory training in adult hearing aid users
INTRODUCTION: Individuals with sensorineural hearing loss are often able to regain some lost auditory function with the help of hearing aids. However, hearing aids are not able to overcome auditory distortions such as impaired frequency resolution and speech understanding in noisy environments. The coexistence of peripheral hearing loss and a central auditor
Clinics. Publicado em: 2010
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3. Pre-processing for noise detection in gene expression classification data
Due to the imprecise nature of biological experiments, biological data is often characterized by the presence of redundant and noisy data. This may be due to errors that occurred during data collection, such as contaminations in laboratorial samples. It is the case of gene expression data, where the equipments and tools currently used frequently produce nois
Journal of the Brazilian Computer Society. Publicado em: 2009-03
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4. InvestigaÃÃo sobre o efeito de ruÃdo na generalizaÃÃo de redes neurais sem peso em problemas de classificaÃÃo binÃria
Redes neurais com neurÃnios baseados em memÃria RAM (random access memory) sÃo caracterizadas por serem implementÃveis em hardware e por serem uma opÃÃo atraente na soluÃÃo de problemas definidos em espaÃo de entradas binÃrias. No entanto, para problemas definidos no espaÃo de entradas reais, existe uma tarefa difÃcil que à encontrar a represent
Publicado em: 2008
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5. Controle com lógica Fuzzy e Neurofuzzy aplicada à análise e programação de robôs móveis com visualização e simulação 3D / Fuzzy and Neurofuzzy controls applied to analise and programming mobile robots with 3D visualization and simulation
This work has as objective the study of an area of the robotics named mobile robotics. A mobile robot must navigate in a safe way and this is the main motivation of this work. To do that a mobile robotics simulator with 3D visualization was developed. One of the great interests in mobile robotics is using artificial intelligence algorithms. The main point of
Publicado em: 2007
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6. TREINAMENTO AUDITIVO FORMAL EM ADULTOS COM DEFICIÊNCIA AUDITIVA. / Formal auditory training in hearing impaired adults.
Objective: To verify the effects of a formal auditory training program in adult hearing aid users with mild to moderate sensorineural hearing loss using behavioral auditory processing tests, a self-report benefit scale and long latency auditory evoked potential P300. Method: Fourteen intra-aural hearing aid users were divided into two groups: seven with audi
Publicado em: 2006
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7. ARTIFICIAL NEURAL NETWORKS IN TIME SERIES FORECASTING / REDES NEURAIS ARTIFICIAIS NA PREVISÃO DE SÉRIES TEMPORAIS
This dissertation investigates the use of Artificial Neural Nerworks (ANNs) in time series forecastig, especially financial time series, which are typically noisy and with no apparent periodicity. The dissertation covers four major parts: the study of Artificial Neural Networks and time series; the desing of ANNs applied to time series forecasting; the devel
Publicado em: 1994
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8. Perceptual learning in clear displays optimizes perceptual expertise: Learning the limiting process
Human operators develop expertise in perceptual tasks by practice or perceptual learning. For noisy displays, practice improves performance by learned external-noise filtering. For clear displays, practice improves performance by improved amplification or enhancement of the stimulus. Can these two mechanisms of perceptual improvement be trained separately? I
National Academy of Sciences.
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9. Predicting outcomes after liver transplantation. A connectionist approach.
OBJECTIVE: The authors sought to train an artificial neural network to predict early outcomes after orthotopic liver transplantation. SUMMARY BACKGROUND DATA: Reliable prediction of outcomes early after liver transplantation would help improve organ use and could have an impact on patient survival, but remains an elusive goal. Traditional multivariate models