GitHub

Neural-Network-with-Financial-Time-Series-Data

An evnet driven model that uses financial time series data with New York Times information to form a LSTM recurrent neural network. There are 3 models. The first 2 models are based on price and volume ...
Scientific Research Publishing

Koonce, B. (2021) ResNet 50. In: Koonce, B., Ed., Convolutional Neural Networks with Swift for Tensorflow. Apress, 63-72.

ABSTRACT: Background: The diagnosis and follow-up of mental disorders still rely heavily on subjective clinical assessments, highlighting the need for objective and quantitative monitoring methods.
Hosted on MSN

Backpropagation from scratch in Python – step by step neural network tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
IEEE

Comparative Analysis of CNN, RNN and LSTM for Synthetic Grip Strength Prediction

Abstract: This study assesses the effectiveness of deep learning models, specifically Recurrent Neural Network (RNN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM), in ...
IEEE

Fuzzy RNN Model-Based Classification of Alzheimer’s Disease and Dementia Using Brain EEG Signals

Abstract: Alzheimer’s Disease (AD) and Dementia represent critical healthcare challenges worldwide, underscoring the need for reliable and early diagnostic tools. This study presents an innovative ...
Scientific Research Publishing

Seabrook, E. and Wiskott, L. (2023) A Tutorial on the Spectral Theory of Markov Chains. Neural Computation, 35, 1713-1796.

ABSTRACT: An algorithm is being developed to conduct a computational experiment to study the dynamics of random processes in an asymmetric Markov chain with eight discrete states and continuous time.