Block-based neural networks

@article{Moon2001BlockbasedNN,
  title={Block-based neural networks},
  author={Sang-Woo Moon and Seong-Gon Kong},
  journal={IEEE transactions on neural networks},
  year={2001},
  volume={12 2},
  pages={307-17}
}
This paper presents a novel block-based neural network (BBNN) model and the optimization of its structure and weights based on a genetic algorithm. The architecture of the BBNN consists of a 2D array of fundamental blocks with four variable input/output nodes and connection weights. Each block can have one of four different internal configurations depending on the structure settings, The BBNN model includes some restrictions such as 2D array and integer weights in order to allow easier… CONTINUE READING
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