Sökning: "artificial neural network"
Visar resultat 1 - 5 av 603 uppsatser innehållade orden artificial neural network.
1. Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Using a microcontroller unit to implement different machine learning algorithms for myoelectric prosthesis control is currently feasible. Still there are hardware and timing constraints that need to be accounted for. LÄS MER
2. An Evaluation of Artificial Neural Networks as an alternative to Example-Based Crowd Simulation
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the ever-developing field of crowd simulation several different algorithms have been proposed to enable data-driven simulations: methods using real-life data to generate realistic pedestrian movements. With different use-cases and trade-offs it is vital to understand the particulars of each approach. LÄS MER
3. Plant yield prediction in indoor farming using machine learning
Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : Agricultural industry has started to rely more on data driven approaches to improve productivity and utilize their resources effectively. This thesis project was carried out in collaboration with Ljusgårda AB, it explores plant yield prediction using machine learning models and hyperparameter tweaking. LÄS MER
4. Increasing explainability of neural network based retail credit risk models
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Due to their ’black box’ nature, Artificial Neural Networks (ANN) are not permitted for use in various applications. One such application is mortgage credit risk modeling. LÄS MER
5. Artificial Neural Networks for Financial Time Series Prediction
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : 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. LÄS MER
