An Algorithm for Radial Basis Function Neural Networks
نویسندگان
چکیده
منابع مشابه
An Algorithm for Radial Basis Function Neural Networks
A radial basis function ( RBF ) neural network depends mainly upon an adequate choice of the number and positions of its basis function centers. In this paper we have proposed an algorithm for RBF neural network and the results may be reduced for artificial neural networks as particular cases.
متن کاملAn Algorithm for Radial Basis Function Neural Networks
J.Moody and C. Darken, “Fast learning in Networks of locallytuned Processing units, Neural Computation , 1:281-294, 1989. N.B.Karayiannis and G.W. Mi, “Growing radial basis Neural Networks: merging supervised and unsupervised learning with network growth techniques “ IEEE Trans. On Neural Networks. D.Dasgupta and S. Forest, “Artificial Immune System in Industrial Applications” Proc. Of the IPMM...
متن کاملA Moderate Algorithm for Generalized Radial basis Function Neural Networks
A Radial Basis Function ( RBF ) neural network can be regarded as a feed forward network composed of multiple layers of neurons with entirely different roles. The input layer made of sensory units that connect the network to its environment. A radial basis function neural network depends mainly upon an adequate choice of the number and positions of its basis function centers. In case of general...
متن کاملA Moderate Algorithm for Generalized Radial basis Function Neural Networks
A Radial Basis Function ( RBF ) neural network can be regarded as a feed forward network composed of multiple layers of neurons with entirely different roles. The input layer made of sensory units that connect the network to its environment. A radial basis function neural network depends mainly upon an adequate choice of the number and positions of its basis function centers. In case of general...
متن کاملA Moderate Algorithm for Generalized Radial basis Function Neural Networks
A Radial Basis Function ( RBF ) neural network can be regarded as a feed forward network composed of multiple layers of neurons with entirely different roles. The input layer made of sensory units that connect the network to its environment. A radial basis function neural network depends mainly upon an adequate choice of the number and positions of its basis function centers. In case of general...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2010
ISSN: 0975-8887
DOI: 10.5120/603-852