Sökning: "EA Evolutionary Algorithm"
Hittade 5 uppsatser innehållade orden EA Evolutionary Algorithm.
1. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. LÄS MER
2. Using an evolutionary algorithm to search for control algorithm parameters with a quadrocopter as hardware in the loop
Uppsats för yrkesexamina på avancerad nivå, Mälardalens högskola/Akademin för innovation, design och teknikSammanfattning : This thesis describes the process of finding control loop parameters for a quadrocopter using machine learning techniques and a hardware in the loop evaluation method. A quadrocopter is an Unattended Aerial Vehicle (UAV) with four rotors that can be controlled individually to steer the vehicle. LÄS MER
3. Description and Application of Genetic Algorithm
Master-uppsats, Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskapSammanfattning : Genetic Algorithm (GA) as a class of Evolutionary Algorithm (EA) is a search algorithm based on the mechanics of natural selection and natural genetics. This dissertation presents the description, solving procedures and application of GA. LÄS MER
4. Models for Protein Structure Prediction by Evolutionary Algorithms
Magister-uppsats, Institutionen för datavetenskapSammanfattning : Evolutionary algorithms (EAs) have been shown to be competent at solving complex, multimodal optimisation problems in applications where the search space is large and badly understood. EAs are therefore among the most promising classes of algorithms for solving the Protein Structure Prediction Problem (PSPP). LÄS MER
5. A Comparison of Simple Recurrent and Sequential Cascaded Networks for Formal Language Recognition
Magister-uppsats, Institutionen för datavetenskapSammanfattning : Two classes of recurrent neural network models are compared in this report, simple recurrent networks (SRNs) and sequential cascaded networks (SCNs) which are first- and second-order networks respectively. The comparison is aimed at describing and analysing the behaviour of the networks such that the differences between them become clear. LÄS MER