Essays about: "a study on artificial neural network"

Showing result 1 - 5 of 159 essays containing the words a study on artificial neural network.

1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Nikolaos Staikos; [2024]
   Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

   Abstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE

3. 2. Leveraging Large Language Models for Firm-Intelligence: A RAG Framework Approach

   University essay from Lunds universitet/Statistiska institutionen

   Author : Niclas Wölner-Hanssen; [2024]
   Keywords : Artificial Intelligence; Large Language Models; Retrieval Augmented Generation; Retrieval Augmented Generation Assessment; Contrastive Learning; Mathematics and Statistics;

   Abstract : In the wake of OpenAI's release of ChatGPT in November 2022, powered by the 175 billion parameter neural network GPT-3, the potential applications of Large Language Models (LLMs) in various sectors have become evident. One such application lies in hedge funds and trading desks where knowledge sharing is paramount. READ MORE

4. 3. Artificial Neural Networks for Financial Time Series Prediction

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Dana Malas; [2023]
   Keywords : artificial neural networks; time series analysis; deep learning; finance; long short-term memory; simple moving average;

   Abstract : Financial market forecasting is a challenging and complex task due to the sensitivity of the market to various factors such as political, economic, and social factors. However, recent advances in machine learning and computation technology have led to an increased interest in using deep learning for forecasting financial data. READ MORE

5. 4. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods

   University essay from KTH/Fysik

   Author : Jeanette Marie Victoria Skeppland Hole; [2023]
   Keywords : ECG; ECG-analysis; QRS detector; Artificial Intelligence; Machine Learning; Deep neural networks; Long short-term memory; Convolutional neural network; Multilayer perceptron; EKG; EKG-analys; QRS detektor; Artificiell intelligens; Maskininlärning; Djupa neurala nätverk; Long short-term memory; Convolutional neural network; Multilayer perceptron;

   Abstract : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). READ MORE

6. 5. Modelling Long Term Memory in the Bayesian Confidence Neural Network Model

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Charu Karn; Samir Samahunov; [2023]
   Keywords : ;

   Abstract : Memory is a fascinating and complex part of human life. Understanding memory and simulating itthrough modelling can help society take steps towards understanding health issues such asAlzheimer's, dementia and amnesia. READ MORE