Pages that link to "Item:Q1313045"

The following pages link to An architecture of neural networks with interval weights and its application to fuzzy regression analysis (Q1313045):

Displaying 20 items.

• Interval regression by tolerance analysis approach (Q419055) (← links)
• On the possibilistic approach to linear regression models involving uncertain, indeterminate or interval data (Q508691) (← links)
• A fuzzy varying coefficient model and its estimation (Q614350) (← links)
• A fuzzy adaptive network approach to parameter estimation in cases where independent variables come from an exponential distribution (Q732097) (← links)
• A domain attraction criterion for interval fuzzy neural networks (Q980043) (← links)
• Interval regression analysis using support vector networks (Q1040927) (← links)
• Support vector interval regression networks for interval regression analysis. (Q1406871) (← links)
• Fuzzy regression by fuzzy number neural networks (Q1568518) (← links)
• Pattern characteristics of an evolution between two classes (Q1602917) (← links)
• A smoothing interval neural network (Q1936019) (← links)
• Nonparametric fuzzy regression -- \(k\)-NN and kernel smoothing techniques. (Q1963111) (← links)
• A parametric recurrent neural network scheme for solving a class of fuzzy regression models with some real-world applications (Q2156454) (← links)
• Fuzzy nonlinear regression analysis using a random weight network (Q2282879) (← links)
• Fuzzy nonparametric regression based on local linear smoothing technique (Q2372247) (← links)
• Extended support vector interval regression networks for interval input-output data (Q2466086) (← links)
• Support vector interval regression machine for crisp input and output data (Q2492358) (← links)
• An application of interval-valued neural networks to a regression problem (Q3502079) (← links)
• ROBUST FUZZY REGRESSION ANALYSIS USING NEURAL NETWORKS (Q3542661) (← links)
• Constructive Approximation of Continuous Interval-Valued Functions (Q5073866) (← links)
• (Q5154657) (← links)