Abstract: In different fields a conception of granules is applied both as a group of elements defined by interna
Artificial intelligence has become the backbone of modern decision support systems. This is why a co...
Artificial intelligence has become the backbone of modern decision support systems. This is why a co...
Surrogate-based methods aim at reducing the evaluation of expensive fitness functions in optimizatio...
In the context of complex granule computations within the Interactive Granular Computating (IGC) par...
This book provides a uniform framework describing how fuzzy rough granular neural network technologi...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University Lo...
This paper concerns with an information granulation approach that is based on neural network learnin...
This paper concerns with an information granulation approach that is based on neural network learnin...
AbstractWe introduce a fuzzy rough granular neural network (FRGNN) model based on the multilayer per...
Nowadays, artificial intelligence has entered into all spheres of human activity. However, there are...
Nowadays, artificial intelligence has entered into all spheres of human activity. However, there are...
The article is devoted to research and development of adaptive algorithms for neuro-fuzzy inference ...
Neuromputation is concerned with methods, systems and applications inspired by the principles of inf...
Granular computing is a computational paradigm that mimics human cognition in terms of grouping simi...
Neurocomputing - inspired from neuroscience - provides the potential of an alternative information ...
Artificial intelligence has become the backbone of modern decision support systems. This is why a co...
Artificial intelligence has become the backbone of modern decision support systems. This is why a co...
Surrogate-based methods aim at reducing the evaluation of expensive fitness functions in optimizatio...
In the context of complex granule computations within the Interactive Granular Computating (IGC) par...
This book provides a uniform framework describing how fuzzy rough granular neural network technologi...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University Lo...
This paper concerns with an information granulation approach that is based on neural network learnin...
This paper concerns with an information granulation approach that is based on neural network learnin...
AbstractWe introduce a fuzzy rough granular neural network (FRGNN) model based on the multilayer per...
Nowadays, artificial intelligence has entered into all spheres of human activity. However, there are...
Nowadays, artificial intelligence has entered into all spheres of human activity. However, there are...
The article is devoted to research and development of adaptive algorithms for neuro-fuzzy inference ...
Neuromputation is concerned with methods, systems and applications inspired by the principles of inf...
Granular computing is a computational paradigm that mimics human cognition in terms of grouping simi...
Neurocomputing - inspired from neuroscience - provides the potential of an alternative information ...
Artificial intelligence has become the backbone of modern decision support systems. This is why a co...
Artificial intelligence has become the backbone of modern decision support systems. This is why a co...
Surrogate-based methods aim at reducing the evaluation of expensive fitness functions in optimizatio...