Artificial Neural Networks (ANNs), a class of machine learning technology based on the human nervous system, are widely used in such fields as data mining, pattern recognition, and system control. ANNs can theoretically learn any function if designed appropriately, however such design usually requires the skill of human expert. Increasingly, Genetic Algorithms (GAs), a class of optimization tools, are being utilized to automate the construction of effective ANNs. The Wisconsin Card Sorting Test (WCST) is a tool used by psychologists to assess human subjects\u27 planning and reasoning ability. The adaptive learning required in the test\u27s task and its ambiguous nature make it an interesting one to use as a test of the learning properties o...
Neural networks and genetic algorithms are the two sophisticated machine learning techniques present...
Artificial neural networks (ANNs) are new technology emerged from approximate simulation of human br...
Although Artificial Neural Networks (ANNs) are important Data Mining techniques, the search for the ...
Artificial Neural Networks (ANNs), a class of machine learning technology based on the human nervous...
Artificial Neural Network (ANN) is one of the modern computational methods proposed to solve the maj...
This thesis starts with a brief introduction to neural networks and the tuning of neural networks us...
Although, the genetic algorithm (GA) has been shown to be a superior neural network (NN) training me...
Artificial neural networks, which mimic the human brain\u27s ability to learn from experiences, are ...
This study proposes the use of a modified genetic algorithm (MGA), a global search technique, as a t...
Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering2002-20...
The effectiveness of using Artificial Neural Networks (ANNs) to substitute for slow function evaluat...
In view of several limitations of gradient search techniques (e.g. backpropagation), global search t...
Similar to mammalian brains, Artificial Neural Networks (ANN) are universal approximators, capable o...
Artificial Neural Networks (ANNs) are one of the most widely used form of machine learning algorithm...
Learning and evolution are two fundamental forms of adaptation. There has been a great interest in c...
Neural networks and genetic algorithms are the two sophisticated machine learning techniques present...
Artificial neural networks (ANNs) are new technology emerged from approximate simulation of human br...
Although Artificial Neural Networks (ANNs) are important Data Mining techniques, the search for the ...
Artificial Neural Networks (ANNs), a class of machine learning technology based on the human nervous...
Artificial Neural Network (ANN) is one of the modern computational methods proposed to solve the maj...
This thesis starts with a brief introduction to neural networks and the tuning of neural networks us...
Although, the genetic algorithm (GA) has been shown to be a superior neural network (NN) training me...
Artificial neural networks, which mimic the human brain\u27s ability to learn from experiences, are ...
This study proposes the use of a modified genetic algorithm (MGA), a global search technique, as a t...
Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering2002-20...
The effectiveness of using Artificial Neural Networks (ANNs) to substitute for slow function evaluat...
In view of several limitations of gradient search techniques (e.g. backpropagation), global search t...
Similar to mammalian brains, Artificial Neural Networks (ANN) are universal approximators, capable o...
Artificial Neural Networks (ANNs) are one of the most widely used form of machine learning algorithm...
Learning and evolution are two fundamental forms of adaptation. There has been a great interest in c...
Neural networks and genetic algorithms are the two sophisticated machine learning techniques present...
Artificial neural networks (ANNs) are new technology emerged from approximate simulation of human br...
Although Artificial Neural Networks (ANNs) are important Data Mining techniques, the search for the ...