Essays about: "Artificial Neural Network for process control"

Showing result 1 - 5 of 9 essays containing the words Artificial Neural Network for process control.

1. 1. Fog detection using an artificial neural network

   University essay from Lunds universitet/Matematisk statistik

   Author : Quanwei Li; Tiancheng Ma; [2023]
   Keywords : Machine Learning; Deep Learning; Image Analysis; Computer Vision; Mathematics and Statistics;

   Abstract : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. READ MORE

3. 2. Optimisation of autoencoders for prediction of SNPs determining phenotypes in wheat

   University essay from Uppsala universitet/Institutionen för biologisk grundutbildning; Uppsala universitet/Institutionen för informationsteknologi

   Author : Karthik Nair; [2021]
   Keywords : Deep Learning; Machine Learning; Convolutional Neural Networks; Convolutional Variational Autoencoders; Autoencoders; SNP-Phenotype relationships; Genetics; Agricultural Bioinformatics; Neural Networks; Unsupervised Learning;

   Abstract : The increase in demand for food has resulted in increased demand for tools that help streamline plant breeding process in order to create new varieties of crops. Identifying the underlying genetic mechanism of favourable characteristics is essential in order to make the best breeding decisions. READ MORE

4. 3. Computer Vision and Machine Learning for a Spoon-feeding Robot : A prototype solution based on ABB YuMi and an Intel RealSense camera

   University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

   Author : Michele Loffreno; [2021]
   Keywords : Artificial Intelligence; Robotics; Control; Machine Vision; Neural Network; Matlab; Object Detection;

   Abstract : A lot of people worldwide are affected by limitations and disabilities that make it hard to do even essential actions and everyday tasks, such as eating. The impact of robotics on the lives of elder people or people having any kind of inability, which makes it hard everyday actions as to eat, was considered. READ MORE

5. 4. Childhood Habituation in Evolution of Augmenting Topologies (CHEAT)

   University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Author : Anton Moberg; [2020]
   Keywords : Neuroevolution; genetic algorithm; machine learning; ML; CHEAT; Childhood Habituation in Evolution of Augmenting Topologies; optimization; artificial neural network; self evolving; model selection; Physics and Astronomy;

   Abstract : Neuroevolution is a field within machine learning that applies genetic algorithms to train artificial neural networks. Neuroevolution of Augmenting Topologies (NEAT) is a method that evolves both the topology of the network and trains the weights of the network at the same time, and has been found to successfully solve reinforcement learning problems efficiently and the XOR problem with a minimal topology. READ MORE

6. 5. Road friction estimation using an artificial neural network in a simulated environment

   University essay from Lunds universitet/Institutionen för reglerteknik

   Author : Jonas Karlsson; [2020]
   Keywords : Friction estimation; vehicle dynamics; vehicle simulation; artificial neural networks; Technology and Engineering;

   Abstract : With the transition of responsibilities from the driver to the automated driving systems in vehicles, the systems need to have been tested for an extensive list of test scenarios as the passengers require high trustworthiness. The friction coefficient for the tyre-road friction is of high importance for the control of the vehicle but the coefficient is dependent on the physical complexity and nonlinear behaviour of tyres and is difficult to measure. READ MORE