Dr. David Shahian Lahey Clinic Burlington, MA 01805 Experiments demonstrated that sigmoid multilayer perceptron (MLP) networks provide slightly better risk prediction than conventional logistic regression when used to predict the risk of death, stroke, and renal failure on 1257 patients who underwent coronary artery bypass operations at the Lahey Clinic. MLP networks with no hidden layer and ne...

The biliary excretion of several organic anions is mediated by the canalicular multispecific organic anion transporter (cMOAT), which is hereditarily defective in mutant rats such as Eisai hyperbilirubinemic rats (EHBR). In addition, using a kinetic study with isolated canalicular membrane vesicles, we recently suggested the presence of ATP-dependent organic anion transporter(s) other than cMOA...

The objective of this study is to develop artificial neural network (ANN) models, including multilayer perceptron (MLP) and Kohonen self-organizing feature map (KSOFM), for spatial disaggregation of areal rainfall in the Wi-stream catchment, an International Hydrological Program (IHP) representative catchment, in South Korea. A three-layer MLP model, using three training algorithms, was used to...

The disease-programming effects of a maternal low-protein (MLP) diet in rat pregnancy have been suggested to be attributable of hyperhomocysteinaemia. The aim of the present study was to determine whether MLP feeding impacted upon maternal and day 20 fetal homocysteine concentrations, with ensuing effects upon oxidant/antioxidant status. Sixty-four pregnant rats were fed either MLP diet or cont...

The Mlp (multicopy lipoproteins) family is one of many paralogous protein families in Borrelia burgdorferi. To examine the extent to which the 10 members of the Mlp family in B. burgdorferi strain 297 might be differentially regulated, antibodies specific for each of the Mlps were developed and used to analyze the protein expression profiles of individual Mlps when B. burgdorferi replicated und...

In this paper, we described and developed a framework for Multilayer Perceptron (MLP) to work on low level image processing, where MLP will be used to perform image super-resolution. Meanwhile, MLP are trained with different types of images from various categories, hence analyse the behaviour and performance of the neural network. The tests are carried out using qualitative test, in which Mean ...

The present paper deals with the continuous work of extending multi-dimensional limiting process (MLP) onto correction procedure via reconstruction (CPR). MLP, which has been originally developed in finite volume method (FVM), provides an accurate, robust and efficient oscillation-control mechanism in multiple dimensions for linear reconstruction. Recently, MLP has been extended into higher-ord...

The discrimination powers of Multilayer perceptron (MLP) and Learning Vector Quantisation (LVQ) networks are compared for overlapping Gaussian distributions. It is shown, both analytically and with Monte Carlo studies, that the MLP network handles high dimensional problems in a more eecient way than LVQ. This is mainly due to the sigmoidal form of the MLP transfer function, but also to the the ...

This paper presents a new derivation of Akcasu’s Modified Levermore-Pomraning (MLP) model for estimating the ensemble-averaged angular flux for particle transport problems in 1-D geometrically random media. The significant new feature of the MLP equations is that, unlike the earlier Levermore-Pomraning (LP) model, the MLP equations are exact for certain classes of problems with scattering.