# PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression. (arXiv:2401.15103v1 [cs.LG])


Symbolic regression aims to derive interpretable symbolic expressions from data
in order to better understand and interpret data. %which plays an important role
in knowledge discovery and interpretable machine learning. In this study, a
symbolic network called PruneSymNet is proposed for symbolic regression. This is
a novel neural network whose activation function consists of common elementary
functions and operators. The whole network is differentiable and can be trained
by gradient descent method. Each subnetwork in the network corresponds to an
expression, and our goal is to extract such subnetworks to get the desired
symbolic expression. Therefore, a greedy pruning algorithm

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