Odaklanan Nöron focusing neuron

The traditional neural network topology is not flexible to change during the training process. Every neuron and it's independent weights in the network are part of the solution function. The proposed focusing neuron model utilizes inter-dependent weights produced by a focusing function. This neuron can change it's focus position and aperture. This property allows a flexible-dynamic network topology, which can be trained using conventional back-propagation algorithm. Our experiments show that focusing neuron neural networks achieve higher success than fully connected neural networks.