neural network toolboxtm 6 user’s guide (MathWorks Inc)
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neural network toolboxtm 6 user’s guide
Neural Network Toolboxtm 6 User’s Guide, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/neural+network+toolboxtm+user's+guide/10__3390_slash_jmse12081318-345-5-13
Average 90 stars, based on 1 article reviews
Neural Network Toolboxtm 6 User’s Guide, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/neural+network+toolboxtm+user's+guide/10__3390_slash_jmse12081318-345-5-13
Average 90 stars, based on 1 article reviews
neural network toolboxtm 6 user’s guide - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Novel QSPR modeling of stability constants of metal-thiosemicarbazone complexes by hybrid multivariate technique: GA-MLR, GA-SVR and GA-ANN Article Snippet: The quantitative structural property relationship (QSPR) models of the logβ11 stability constants of M:L complexes of the structurally diverse thiosemicarbazones and several metal ions (M = Ag, Cd, Co, Cu, Fe, Mn, Cr, La, Mg, Mo, Nd, Ni, Pb, Zn, Pr, Dy, Gd, Ho, Sm, Tb, V) in aqueous solution have been constructed by combining the genetic algorithm with multivariate linear regression (QSPRGA-MLR), support vector regression (QSPRGA-SVR) and artificial neural network (QSPRGA-ANN).. The multi-levels optimization for grid search technique is used to find the best QSPRGA-SVR model with the optimized parameters capacity C = 1.0, Gamma, γ = 1.0 and Epsilon, ε = 0.1.. The quality of the QSPR models presented in statistical values as training R in range 0.9148 0.9815, validation Q in range 0.7168 0.9669 and MSE values in range 0.2742 2.4906. |