Learning of Multi-valued Multithreshold Neural Units
Vladyslav Kotsovsky · 2024
The issues related to the use of multithreshold neural units in multiclass classification are treated in the paper.Two models of multi-valued k-threshold neurons are considered.Online and offline modifications of the learning algorithm are designed to train multithreshold neuron to solve multiclass classification tasks using simple and fast learning techniques.The conditions are found ensuring the finiteness of the training.The experiment results demonstrate the performance of multithreshold multiclass classifier on real-world datasets compared to some popular classifiers.