Avancerad sökning
Hittade 2 uppsatser som matchar ovanstående sökkriterier.
1. Adaptive network selection for moving agents using deep reinforcement learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the rapid development and deployment of “Internet of Things”-devices comes a new era of benefits to increase the efficiency of our everyday lives. Many of these devices rely on having an established network connection in order to operate at peak performance, but this requirement could be hard to guarantee in the face of less supported infrastructure in certain parts of the world. LÄS MER
2. Stock forecasting using ensemble neural networks
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This paper explores the viability of creating an artificial neural network for stock forecasting using an ensemble method, where each network is differentiated with a different set of input parameters. The inputs were chosen based on previous research and by using a stepwise addition parameter search method. LÄS MER
