Artificial neural networks are machine learning systems composed of a large number of connected nodes called artificial neurons. Similar to the neurons in a biological brain, these artificial neurons ...

ALNM is capable of simplifying the neural models by synaptic pruning and dendritic pruning during the training process. Then, the simplified structures of ALNM can be substituted by logical circuits, ...

The approximate logic neuron model (ALNM) is a single neural model with a dynamic dendritic structure. The ALNM uses a neural pruning function to eliminate unnecessary dendrite branches and synapses ...