Sökning: "neural networks"
Visar resultat 1 - 5 av 912 uppsatser innehållade orden neural networks.
- Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik
Sammanfattning : Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. LÄS MER
- Master-uppsats, Mälardalens högskola/Akademin för utbildning, kultur och kommunikation
Sammanfattning : Each economic event has a dynamic effect on the market due to decision complexity for agents valuating rare events. The more complex is the event, the more it takes for the markets to incorporate the new information. The goal of this thesis is to explore the dynamic effects of economic events on equity returns and statistical indicators. LÄS MER
- Magister-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap
Sammanfattning : Background: Sales Forecasting plays a substantial role in identifying the sales trends of products for the future era in any organization. These forecasts are also important for determining the profitable retail operations to meet customer demand, maintain storage levels and to identify probable losses. LÄS MER
- Master-uppsats, Lunds universitet/Matematisk statistik
Sammanfattning : Millimeter wave pulsed radar has found many applications, among them hand gesture sensing, which this work has as purpose. This application has already shown good potential, , and here in this work robustness aspects are taken into account. LÄS MER
- Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)
Sammanfattning : PET imaging is a key tool in the fight against cancer. One of the main issues of PET imaging is the high level of noise that characterizes the reconstructed image, during this project we implemented several algorithms with the aim of improving the reconstruction of PET images exploiting the power of Neural Networks. LÄS MER