Implementation of a Library for Artificial Neural Networks in C

In modern computing, there are several approaches to pattern recognition and object classification. As computational power has increased, artificial neural networks have become ever more popular and prevalent in this regard. Over the course of the year, I implemented a general-purpose library for artificial neural networks in the C programming language. It includes a variety of functions and data structures for use in creating, working with, and training simple perceptron-type neural networks using a backpropagation heuristic. Though it is not fully capable of training a neural network in its current iteration, this library would serve as a useful starting point for further exploration in the field of machine learning.