how to cite this article: mozafari h, taghikhani m, khatami sh, alaei mr, vaisi-raygani a, rahimi z. chitotriosidase activity and gene polymorphism in iranian patients with gaucher disease and sibling carriers. iran j child neurol. autumn 2016; 10(4):62-70. abstract objective chitotriosidase (ct) activity is a useful biomarker for diagnosis and monitoring of gaucher disease (gd). its applicatio...

in this paper, we present an application of evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the shabestar plain, iran. after initializing the model with groundwater elevations observed at a given time, the developed hybrid genetic algorithm-back propagation (ga-bp) should be able to reproduce groundwater ...

Overfitting is a well-known problem in the fields of symbolic and connectionist machine learning. It describes the deterioration of generalisation performance of a trained model. In this paper, we investigate the ability of a novel artificial neural network, bp-som, to avoid overfitting. bp-som is a hybrid neural network which combines a multi-layered feed-forward network (mfn) with Kohonen’s s...

Abstract. Praptiwi Windadri FI, Sulistiarini D, Ersaliany NPQ. 2022. Potential bioactivity evaluation of Arytera littoralis Blume (Sapindaceae). Biodiversitas 23: 4977-4983. Bioactivity (Sapindaceae) and its chemical compounds from different parts the plants (flower, leaves, stem) using polarities solvents was carried out in this study. Phytochemical analysis performed standard method. Total ph...