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Table 2 R2 and RMSE values of MNFF and MFFF using different training algorithms

From: Development of trigger sensitive hyaluronic acid/palm oil-based organogel for in vitro release of HIV/AIDS microbicides using artificial neural networks

Network architectureTraining algorithmResponse
Mucin adsorptionFlux
RMSER2RMSER2
MNFFIBP7.342170.765910.192910.91433
BBP15.81500− 0.08590.213000.89556
QP13.717000.183080.593880.18807
GA7.577100.750730.225760.88267
LM6.830700.797410.247370.85912
MFFFIBP6.565200.812860.127810.9624
BBP16.91100− 0.241750.69043− 0.09741
QP14.091000.137840.594310.18689
GA7.920700.727600.299260.79383
LM6.554700.814350.121480.96603