Essays about: "neural network in finance"

Showing result 1 - 5 of 17 essays containing the words neural network in finance.

1. 1. 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

3. 2. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

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

   Author : Jiayi Feng; [2023]
   Keywords : DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

   Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. 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. Machine Learning Algorithms to Predict Cost Account Codes in an ERP System : An Exploratory Case Study

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Alexander Wirdemo; [2023]
   Keywords : Artificial Intelligence; Machine Learning; ERP; invoice automation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor; Artificiell Intelligens; maskinlärning; ERP; fakturaautomation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor;

   Abstract : This study aimed to investigate how Machine Learning (ML) algorithms can be used to predict the cost account code to be used when handling invoices in an Enterprise Resource Planning (ERP) system commonly found in the Swedish public sector. This implied testing which one of the tested algorithms that performs the best and what criteria that need to be met in order to perform the best. READ MORE

6. 5. Artificial Intelligence for Option Pricing

   University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

   Author : Emil Hietanen; [2022-06-19]
   Keywords : Options; calls; puts; pricing; artificial neural networks; models; volatility; comparison;

   Abstract : This thesis addresses the issue of vulnerable underlying assumptions used in option pricing methodology. More precisely; underlying assumptions made on the financial assets and markets make option pricing theory vulnerable to changes in the financial framework. READ MORE