This paper presents an adaptation of the Multi-Layer Perceptron (MLP) algorithm for use in predicting diabetes risk. The aim is to enhance accuracy and generalizability model by incorporating preprocessing techniques, dimensionality reduction using Principal Component Analysis (PCA), improvements optimization regularization. Several factors, including glucose level, pregnancy, blood pressure, b...

An artificial neural network has been used to determine the volume flux and rejections of Ca2+ , Na+ and Cl¯, as a function of transmembrane pressure and concentrations of Ca2+, polyethyleneimine, and polyacrylic acid in water softening by nanofiltration process in presence of polyelectrolytes. The feed-forward multi-layer perceptron artificial neural network including an eight-neuron hidde...

Background: Brain tissue segmentation for delineation of 3D anatomical structures from magnetic resonance (MR) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF), but only if the obtained segmentation results are correct. Due to image arti...

Abstract There is a growing interest in automatic crafting of neural network architectures as opposed to expert tuning find the best architecture. On other hand, problem stock trading considered one most dynamic systems that heavily depends on complex trends individual company. This paper proposes novel self-evolving system called Multi-Layer Perceptron (seMLP) which can abstract data and produ...