Deformation prediction by a feed forward artificial neural network during mouse embryo micromanipulation

In this study, a neural network (NN) modeling approach has been used to predict the mechanical and geometrical behaviors of mouse embryo cells. Two NN models have been implemented. In the first NN model dimple depth (w), dimple radius (a) and radius of the semi-circular curved surface of the cell (R...

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Bibliographic Details

Published in:	Animal cells and systems Vol. 16; no. 2; pp. 121 - 126
Main Authors:	Abbasi, Ali A., Sharif University of Technology, Tehran, Iran, Vossoughi, G.R., Sharif University of Technology, Tehran, Iran, Ahmadian, M.T., Sharif University of Technology, Tehran, Iran
Format:	Journal Article
Language:	English
Published:	Daejeon Taylor & Francis Group 01.04.2012 Taylor & Francis Ltd 한국통합생물학회
Subjects:	artificial neural network Behavior biological cells Deformation Embryos error back propagation algorithm NEURAL NETWORKS REDES DE NEURONAS RESEAU DE NEURONES Sensitivity analysis Studies 생물학
ISSN:	1976-8354, 2151-2485
Online Access:	Get full text
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