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Comparison of multiple linear regression and artificial neural network in developing the objective functions of the orthopaedic screws

✍ Scribed by Ching-Chi Hsu; Jinn Lin; Ching-Kong Chao


Book ID
113546772
Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
907 KB
Volume
104
Category
Article
ISSN
0169-2607

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The unit cell parameters (a, b, c) of orthorhombic perovskites (of A 2 + B 4 + O 3 and A 3 + B 3 + O 3 type) were predicted both using multiple linear regression analysis (MLR) and two types of artificial neural networks (ANN). In these analyses, 70 compounds of above perovskite type were included: