An approximate logic neuron model (ALNM) is a single neural model with a dynamic dendritic structure. During the training process, the model is capable of reducing useless synapses and unnecessary branches of dendrites by neural pruning function. It provides a simplified dendritic morphology for each particular problem. Then, the simplified model of ALNM can be substituted with a logic circuit, which is easy to implement on hardware. However, the computational capacity of this model has been greatly restricted by its learning algorithm, the back-propagation (BP) algorithm, because it is sensit...
