Training with states of matter search algorithm enables neuron model pruning

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 during training, but use of the backpropagation algorithm restricted the ALMN.

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