Sökning: "Particle Swarm Optimization PSO"
Visar resultat 1 - 5 av 16 uppsatser innehållade orden Particle Swarm Optimization PSO.
1. Book retrieval system : Developing a service for efficient library book retrievalusing particle swarm optimization
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : Traditional methods for locating books and resources in libraries often entail browsing catalogsor manual searching that are time-consuming and inefficient. This thesis investigates thepotential of automated digital services to streamline this process, by utilizing Wi-Fi signal datafor precise indoor localization. LÄS MER
2. Design of a grating lobe mitigated antenna array architecture integrated with low loss PCB filtering structures
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Massive multiple input multiple output - MIMO systems are a reality and modern communication systems rely upon this technology to cope with the increasing need for capacity and network usage. Antenna arrays are at the heart of the of the massive-MIMO system and are the enabling technology. LÄS MER
3. A Multi-State Particle Swarm Optimization model to find the golden hour coverage of MSUs
Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)Sammanfattning : When suffering a stroke, the time to treatment is one of the key factors to increase the chance of desirable recovery. To ensure proper treatment, a diagnosis has to be made before treatment can begin. The potential consequences of treating a misdiagnosis can be severely harmful or even deadly. LÄS MER
4. Scaling and distribution of Particle Swarm Optimization Algorithms on Microsoft Azure
Magister-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknikSammanfattning : Introduction. Particle Swarm Optimization (PSO) is a heavy-duty algorithm that is used to identify the optimum (maximum or minimum) solution of a formula with multiple unknown factors. PSO algorithms are used widely for various optimization problems, and all face the same challenge. LÄS MER
5. Hyperparameter Optimization for Convolutional Neural Networks
Magister-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Training algorithms for artificial neural networks depend on parameters called the hyperparameters. They can have a strong influence on the trained model but are often chosen manually with trial and error experiments. LÄS MER