Optimization and evaluation of a neural network classifier for PET scans of memory disorder subjects
FREE-DOWNLOAD JS Kippenhan, WW Barker, S Pascal, R Duara… – 2010 Back-propagation neural networks were used to classify PET scans as either normal or abnormal, with abnormal subjects defined as subjects who had previously been clinically diagnosed with memory disorders. Numerous neural network experiments were
A neural network model of adaptively timed reinforcement learning and hippocampal dynamics
FREE-DOWNLOAD S Grossberg… – CAS/CNS Technical Report Series, 2010 The central issue is: What spares the animal from erroneously reacting to these expected nonoccurrences of food during the first two seconds as predictive failures? Why does the animal not immediately become so frustrated by the nonoccurrence of food that it shifts its attentional focus and
Assessing the effort of meteorological variables for evaporation estimation by self-organizing mapneural network
FREE-DOWNLOADFJ Chang, LC Chang… – Journal of Hydrology, 2010 The phenomenon of evaporation affects the distribution of water in the hydrological cycle and plays a key role in agriculture and water resource management. We propose a self-organizing map neural network (SOMN) to assess the variability of daily evaporation based on