Comparison of neural network and multiple linear regression as dissolution predictors.
about
Novel approaches to neural and evolutionary computing in pharmaceutical formulation: challenges and new possibilities.Structural and silver/vanadium ratio effects on silver vanadium phosphorous oxide solution formation kinetics: impact on battery electrochemistry.Silver vanadium oxide and silver vanadium phosphorous oxide dissolution kinetics: a mechanistic study with possible impact on future ICD battery lifetimes.Strengths of artificial neural networks in modeling complex plant processesPapain entrapment in alginate beads for stability improvement and site-specific delivery: physicochemical characterization and factorial optimization using neural network modeling.Investigating the parameters affecting the stability of superparamagnetic iron oxide-loaded nanoemulsion using artificial neural networks.Determination of factors controlling the particle size and entrapment efficiency of noscapine in PEG/PLA nanoparticles using artificial neural networks.Effects of processing parameters on particle size of ultrasound prepared chitosan nanoparticles: an Artificial Neural Networks Study.Preparation of biodegradable nanoparticles of tri-block PLA-PEG-PLA copolymer and determination of factors controlling the particle size using artificial neural network.Artificial neural networks: comparison of two programs for modeling a process of nanoparticle preparation.
P2860
Q37855849-C40B2F36-32B5-447D-9162-DCB658C93D54Q38417449-E1D1B31A-A998-41CB-BBF1-C1EF8A375022Q39370593-4C053380-DAF3-4773-924F-CF32308A83DFQ41145546-B3FF24F6-355D-48B6-97C0-18E1FB364A2AQ41990272-9910FB47-0359-4A33-99A5-6A17FD4BB912Q42383295-BDF60A60-5835-4448-8ECA-B0222986B632Q42965329-3B06353F-C7E3-46D2-9FD9-78C8C7DBBBFBQ47304986-8AB22900-31C3-4AB4-8570-9822C2F43EF8Q47367533-2B38B5ED-DB7B-4E47-A649-2D6CE3563BEDQ51959152-2DE585E4-4C9F-459C-A6FE-070A6ADD1AB7
P2860
Comparison of neural network and multiple linear regression as dissolution predictors.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
@zh
2003年学术文章
@zh-cn
2003年学术文章
@zh-hans
2003年学术文章
@zh-my
2003年学术文章
@zh-sg
2003年學術文章
@yue
2003年學術文章
@zh-hant
name
Comparison of neural network and multiple linear regression as dissolution predictors.
@en
Comparison of neural network and multiple linear regression as dissolution predictors.
@nl
type
label
Comparison of neural network and multiple linear regression as dissolution predictors.
@en
Comparison of neural network and multiple linear regression as dissolution predictors.
@nl
prefLabel
Comparison of neural network and multiple linear regression as dissolution predictors.
@en
Comparison of neural network and multiple linear regression as dissolution predictors.
@nl
P2860
P356
P1476
Comparison of neural network and multiple linear regression as dissolution predictors.
@en
P2093
Jurgen Venitz
Pradeep M Sathe
P2860
P304
P356
10.1081/DDC-120018209
P407
P577
2003-03-01T00:00:00Z