Computational intelligent programs are capable of discovering interesting relationships contained in "raw" data. These programs, including artificial neural networks, set covering algorithms and decision trees, have been ...
Current research in modular neural networks (MNNs) have essentially two aims; to model systematic methods for constructing neural networks of high complexity and secondly, to provide building blocks for hybrid symbolic- ...
Artificial neural networks (ANNs) have been proven to be successful general machine
learning techniques for, amongst others, pattern recognition and classification. Realworld
problems in agriculture (soybean, tea), ...