Podcast(Generated by NotebookLM) My research journey began with an exploration of Partial Differential Equations (PDEs), specifically focusing on traveling wave solutions. Intrigued by the application of the Klein-Gordon equation with hyperbolic functions, I questioned the conventional use of a static beta parameter within these functions. This led me to hypothesize that a dynamically updated beta…
In the past weeks, an intriguing article was published on text classification. This article aims to provide simple but effective text classification using k-nearest-neighbors (kNN) and gzip, in contrast to Deep Neural Networks (DNNs). Although DNNs yield high results in text classification, they require extensive processing, millions of parameters, and a large number of labeled data. However, this…
In the context of neural networks, this article gives a thorough analysis and use of the Gravitational Search Algorithm (GSA). The GSA is an optimization method that borrows principles from nature and imitates the effects of mass and gravity. To maximize the weights of the network, the technique is combined with a feed-forward neural network. A Python implementation of the GSA for optimizing the…