Add to ORKGDottorato di ricerca in scienze cognitive. 9. Ciclo.Consiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7, Rome; Biblioteca Nazionale Centrale - P.za Cavalleggeri, 1, Florence / CNR - Consiglio Nazionale delle RichercheSIGLEITItal
On-line learning is examined for the Radial Basis Function Network, an important and practical type ...
Abstract: We present various learning methods for RBF networks. The standard gradient-based learning...
There are many tools for data mining. Neural network is important in data mining due to its intuitio...
Dottorato di ricerca in scienze cognitiveConsiglio Nazionale delle Ricerche - Biblioteca Centrale - ...
Dottorato di ricerca in Statistica metodologica. 11. ciclo. Relatore Sergio Zani. Coordinatore Miche...
In this paper a new, one step strategy for learning Radial Basis Functions network parameters is pro...
In this paper we discuss the learning problem of Radial Basis Function (RBF) Neural Networks. We pro...
This paper proposes a novel learning algorithm for constructing data classifiers with radial basis f...
We extend radial basis function (RBF) networks to the scenario in which multiple correlated tasks ar...
Consiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7, Rome / CNR - Consiglio...
Consiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7 Rome / CNR - Consiglio ...
This dissertation presents a new strategy for the automatic design of neural networks. The learning ...
In this paper, we propose a `Meta-cognitive Radial Basis Function Network (McRBFN)' and its `Project...
The paper presents a novel two-layer learning method for radial basis function (RBP) networks. At th...
The paper considers a number of strategies for training radial basis function (RBF) classifiers. A b...
On-line learning is examined for the Radial Basis Function Network, an important and practical type ...
Abstract: We present various learning methods for RBF networks. The standard gradient-based learning...
There are many tools for data mining. Neural network is important in data mining due to its intuitio...
Dottorato di ricerca in scienze cognitiveConsiglio Nazionale delle Ricerche - Biblioteca Centrale - ...
Dottorato di ricerca in Statistica metodologica. 11. ciclo. Relatore Sergio Zani. Coordinatore Miche...
In this paper a new, one step strategy for learning Radial Basis Functions network parameters is pro...
In this paper we discuss the learning problem of Radial Basis Function (RBF) Neural Networks. We pro...
This paper proposes a novel learning algorithm for constructing data classifiers with radial basis f...
We extend radial basis function (RBF) networks to the scenario in which multiple correlated tasks ar...
Consiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7, Rome / CNR - Consiglio...
Consiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7 Rome / CNR - Consiglio ...
This dissertation presents a new strategy for the automatic design of neural networks. The learning ...
In this paper, we propose a `Meta-cognitive Radial Basis Function Network (McRBFN)' and its `Project...
The paper presents a novel two-layer learning method for radial basis function (RBP) networks. At th...
The paper considers a number of strategies for training radial basis function (RBF) classifiers. A b...
On-line learning is examined for the Radial Basis Function Network, an important and practical type ...
Abstract: We present various learning methods for RBF networks. The standard gradient-based learning...
There are many tools for data mining. Neural network is important in data mining due to its intuitio...