Improved dynamical binary-tree based self-organizing neural network algorithm
一种改进的动态二叉树的自组织神经网络算法

The advantages and disadvantages of various improved self-organizing neural network algorithms were discussed in the paper, and an Improved Dynamical Binary-tree Based Self-Organizing Neural Network (DBTSONN) was designed and implemented in detail. In the binary-tree, neuron nodes can be growing and pruning, and the self-organizing mapping structure is flexible, not needed to be determined in advance. DBTSONN1 algorithm uses single path to search the winning leaf nodes, and DBTSONN2 algorithm uses double path search, considering the hierarchical position of the winning node, which can improve the searching efficiency. The experimental results show that DBTSONN algorithm is very useful for vector quantization.