Sökning: "grid computing"
Visar resultat 1 - 5 av 39 uppsatser innehållade orden grid computing.
1. Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : The Discrete Fourier Transform is the simplest way to obtain the spectrum of a discrete complex signal. This thesis concerns the case when the signal is known to contain a small (unknown) number of frequencies, not limited to the discrete Fourier frequencies, embedded in complex Gaussian noise. LÄS MER
2. Review of Hybrid Inverters with Back-Up and Modeling using PVsyst
Master-uppsats, Högskolan Dalarna/EnergiteknikSammanfattning : A market review on Hybrid Inverters with Back-Up (HIBU) is presented, selecting products from eleven global inverter manufacturers. A systemic review of all the productsis performed, along with a general comparison of their main features. LÄS MER
3. Avoiding local minima with Genetic programming of Behavior Trees
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Behavior Trees (BTs) are a reactive policy representation that has gained popularity in recent years, especially in the robotics domain. Among the learning methods for BTs, Genetic Programming (GP) is an effective method for learning a good BT. One drawback of GP is that it is likely to get stuck in local minima. LÄS MER
4. Integrating a SpiNNaker 2 prototype on an embedded platform : Hardware design and firmware modification
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The field of neuromorphic computing concerns simulating the information processing of a brain in software or hardware on a computing platform. One neuromorphic platform that uses specialized hardware is SpiNNaker. It is an integrated circuit consisting of multiple general purpose processing cores that can run simulations of neurons. LÄS MER
5. AI Verification Application : Development of an Application for ArtificialNeural Network Verification and Investigation of Hyperparameters for Single Shot Detection Models
Kandidat-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Abstract Hyperparameter tuning for Artificial Neural Network models is an important part in the process of producing the best model for a given task. The process heavily relies on the availability of time and computing resources. LÄS MER