IEEE

Recursive Neural Network POS Tagger

This project explores the application of recursive neural networks (RNNs) in natural language processing, specifically for part-of-speech (POS) tagging. Drawing on foundational work by Socher et al.
SiliconANGLE

Samsung researchers create tiny AI model that shames the biggest LLMs in reasoning puzzles

Researchers from Samsung Electronic Co. Ltd. have created a tiny artificial intelligence model that punches far above its weight on certain kinds of “reasoning” tasks, challenging the industry’s ...
Scientific Research Publishing

Oosterlee, C.W. and Grzelak, L.A. (2020) Mathematical Modeling and Computation in Finance with Exercises and Python and MATLAB Computer Codes. World Scientific Publishing ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
Scientific Research Publishing

Hornik, K., Stinchcombe, M. and White, H. (1989) Multilayer Feedforward Networks Are Universal Approximators. Neural Networks, 2, 359-366.

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
GitHub

csv-dataset

A proof of concept of a recursion doing stochastic gradient descent for a simple neural network. Done in Python3 with numpy ...
IEEE

Adaptive Recursive Terminal Sliding Mode Control for MEMS Gyros Using Improved Neural Network With Constrained Input Mapping

Abstract: To drive the gyroscope into a command vibration mode, and to simultaneously estimate the angular velocity, this paper proposes an improved fully adjusted neural network-based adaptive ...