Add to ORKGThis paper series focusses on the intersection of neural networks and evolutionary computation. It is addressed to researchers from artificial intelligence as well as the neurosciences
Brains are, at a fundamental level, biological computing machines. They transform a torrent of compl...
The present work initiates a research line in the study of artificial life, through a preliminary ch...
Evolutionary computation has been around ever since the late 50s. This thesis aims at elaborate on g...
evolutionary algorithms, evolutionary strategies. evolutionary programming, genetic programming, neu...
There is a tremendous interest in the development of the evolutionary computation techniques as they...
This research is to develop a biologically inspired hybrid intelligent system - evolving neural netw...
This chapter focusses on the intersection of neural and evolutionary learning and shows basic aspect...
In recent years, the use of hybrid soft computing methods has shown that in various applications the...
Summary. In recent years, the use of hybrid soft computing methods has shown that in various applica...
In the past decade, two areas of research which have become very popular are the fields of neural ne...
Neuroevolution, i.e. evolution of artificial neural networks, has recently emerged as a powerful tec...
Neuromputation is concerned with methods, systems and applications inspired by the principles of inf...
Artificial neural networks (ANNs) are applied to many real-world problems, ranging from pattern clas...
Cognitive neuroscience, the study of brain-behavior relationships, has long attempted to map the bra...
Learning and evolution are two fundamental forms of adaptation. There has been a great interest in c...
Brains are, at a fundamental level, biological computing machines. They transform a torrent of compl...
The present work initiates a research line in the study of artificial life, through a preliminary ch...
Evolutionary computation has been around ever since the late 50s. This thesis aims at elaborate on g...
evolutionary algorithms, evolutionary strategies. evolutionary programming, genetic programming, neu...
There is a tremendous interest in the development of the evolutionary computation techniques as they...
This research is to develop a biologically inspired hybrid intelligent system - evolving neural netw...
This chapter focusses on the intersection of neural and evolutionary learning and shows basic aspect...
In recent years, the use of hybrid soft computing methods has shown that in various applications the...
Summary. In recent years, the use of hybrid soft computing methods has shown that in various applica...
In the past decade, two areas of research which have become very popular are the fields of neural ne...
Neuroevolution, i.e. evolution of artificial neural networks, has recently emerged as a powerful tec...
Neuromputation is concerned with methods, systems and applications inspired by the principles of inf...
Artificial neural networks (ANNs) are applied to many real-world problems, ranging from pattern clas...
Cognitive neuroscience, the study of brain-behavior relationships, has long attempted to map the bra...
Learning and evolution are two fundamental forms of adaptation. There has been a great interest in c...
Brains are, at a fundamental level, biological computing machines. They transform a torrent of compl...
The present work initiates a research line in the study of artificial life, through a preliminary ch...
Evolutionary computation has been around ever since the late 50s. This thesis aims at elaborate on g...