Sökning: "machine learning lstm"
Visar resultat 21 - 25 av 260 uppsatser innehållade orden machine learning lstm.
21. Assessing Electricity Prices and Their Driving Mechanisms in Brazil with Neural Networks
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : In general, electricity prices are very volatile and derive from many external variables. In Brazil, this price is determined by computer models developed and operated by government organizations. The supply and demand relationships are not enough to determine prices in Brazilian submarkets. LÄS MER
22. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods
Master-uppsats, KTH/FysikSammanfattning : 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). LÄS MER
23. CryptoCurrency Time Series analysis : Comparative analysis between LSTM and BART Algorithm
Uppsats för yrkesexamina på grundnivå, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Cryptocurrency is an innovative digital or virtual form of money thatuses cryptographic techniques for secured financial transactions within a decentralized structure. Due to its high volatility and susceptibility to external factors, itis difficult to understand its behavior which makes accurate predictions challengingfor the investors who are trying to forecast price changes and make profitable investments. LÄS MER
24. Predicting Asset Indexes for Safe and Profitable Portfolio Allocation
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Many investors face the complicated task of allocating and forecasting asset indexes in asafe and profitable manner. The primary objective of this bachelor thesis is to introduce asafe and risk-adjustment portfolio allocation, consisting of four Swedish listed. LÄS MER
25. Demand Forecasting of Outbound Logistics Using Neural Networks
Master-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)Sammanfattning : Long short-term volume forecasting is essential for companies regarding their logistics service operations. It is crucial for logistic companies to predict the volumes of goods that will be delivered to various centers at any given day, as this will assist in managing the efficiency of their business operations. LÄS MER