نتایج جستجو برای: ساختار mlp

تعداد نتایج: 64342  

Journal: :European journal of heart failure 2006
James R Wilding Craig A Lygate Kay E Davies Stefan Neubauer Kieran Clarke

Mutation of cytoskeletal protein genes results in abnormal protein function and causes cardiomyopathy. We hypothesised that cardiac levels of cytoskeletal proteins, such as dystrophin, desmin and muscle LIM protein (MLP), would be altered during remodelling caused by myocardial infarction (MI). We measured left-ventricular morphology, function and cytoskeletal protein levels 10 weeks after coro...

Journal: :CoRR 2014
Rosângela Saher Corrêa Cintra Haroldo F. de Campos Velho

This paper presents an approach for employing an artificial neural network (NN) to emulate an ensemble Kalman filter (EnKF) as a method of data assimilation. The assimilation methods are tested in the Simplified Parameterizations PrimitivE-Equation Dynamics (SPEEDY) model, an atmospheric general circulation model (AGCM), using synthetic observational data simulating localization of balloon soun...

2017
Ernest V Boiko Dmitrii S Maltsev

Purpose. To compare the controllability of navigated macular laser photocoagulation (MLP) in dry versus edematous retina and validate that pretreatment diagnostic images can be used as basis for navigated MLP after the macular edema (ME) has been resolved. Materials and Methods. Group 1 was divided into subgroup 1 (dry retina MLP) and subgroup 2 (MLP in ME) for comparisons of laser-burn diamete...

Journal: :Drug metabolism and disposition: the biological fate of chemicals 2005
Huadong Tang Michael Mayersohn

The functionality of the correction factors, maximum life-span potential (MLP), and brain weight (BrW) used in allometry is mathematically described. Correction by MLP or BrW is equivalent to a multiplication of some constants by the predicted values in humans from simple allometry, but they have no relationship to measured pharmacokinetic parameters in the animal species. The values of these c...

2009
Karim Mezzoug Bachir Djebbar

This paper presents the development and performance evaluation of a particular Multi-Layer Perceptron neural network (MLP) classifier for radar target detection in a noisy, non-Gaussian environment using CFAR (Constant False Alarm Rate). The Technique, architecture details and principle of working of the MLP-CFAR detector training algorithm are presented. A comparison of the MLP-CFAR performanc...

Journal: :Expert Syst. Appl. 2010
Hamid Khorrami Majid Moavenian

In this study we have proposed and compared use of CWT (Continues Wavelet Transform) with two powerful data transformation techniques DWT (Discrete Wavelet Transform), and DCT (Discrete Cosine Transform) which have already been in use, in order to improve the capability of two pattern classifiers in ECG arrhythmias classification. The classifiers under examination are MLP (Multi-Layered Percept...

2006
Peter N. Costandi Lawrence R. Frank Andrew D. McCulloch Jeffrey H. Omens

Although the physiological states of hypertrophic remodeling and congestive heart failure have been intensively studied, less is known about the transition from one to the other. The use of genetically engineered murine models of heart failure has proven valuable in characterizing the progression of remodeling and its ultimate decompensation to failure. Mice deficient in the cytoskeletal muscle...

Journal: :The British journal of nutrition 2009
Matthew Harrison Simon C Langley-Evans

Associations between birth weight and CVD in adult life are supported by experiments showing that undernutrition in fetal life programmes blood pressure. In rats, the feeding of a maternal low-protein (MLP) diet during gestation programmes hypertension. The present study aimed to assess the potential for a nutritional insult to impact across several generations. Pregnant female Wistar (F0) rats...

2009
Junho Park Frank Diehl Mark J. F. Gales Marcus Tomalin Philip C. Woodland

Front-end features computed using Multi-Layer Perceptrons (MLPs) have recently attracted much interest, but are a challenge to scale to large networks and very large training data sets. This paper discusses methods to reduce the training time for the generation of MLP features and their use in an ASR system using a variety of techniques: parallel training of a set of MLPs on different data sub-...

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