Essays about: "fully connected networks"

Showing result 16 - 20 of 54 essays containing the words fully connected networks.

  1. 16. Using Neural Networks to Predict Cell Specific Productivity in Bioreactors

    University essay from Umeå universitet/Institutionen för fysik

    Author : Frida Nordström; [2021]
    Keywords : machine learning; neural networks; nn; biopharma; sartorius; bioreactor; metabolic productivity; cell;

    Abstract : During production of certain biopharamaceutical drugs, cells are grown in a liquid mediainside bioreactors with the goal of producing a specic biomaterial that can be rened intoa drug. This project investigates whether the use of Neural Networks (NN) can decreasethe prediction error, in terms of Mean Squared Error (MSE), for 2 metabolic processes incells compared to current methods. READ MORE

  3. 17. Deep Convolutional Nonnegative Autoencoders

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yann Debain; [2020]
    Keywords : ;

    Abstract : In this thesis, nonnegative matrix factorization (NMF) is viewed as a feedbackward neural network and generalized to a deep convolutional architecture with forwardpropagation under β-divergence. NMF and feedfoward neural networks are put in relation and a new class of autoencoders is proposed, namely the nonnegative autoencoders. READ MORE

  4. 18. Blood Cell Data Augmentation using Deep Learning Methods

    University essay from Lunds universitet/Matematik LTH

    Author : Oskar Klang; Martin Carlberg; [2020]
    Keywords : Image analysis; deep learning; data augmentation; generative adversarial networks; GAN; Mathematics and Statistics;

    Abstract : In this thesis we aim to improve classification performance on blood cell imagesby using deep learning techniques to augment data. The thesis was conductedat CellaVision, a company providing digital solutions for medical microscopy inthe field of hematology. READ MORE

  5. 19. 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. 20. Injector diagnosis based on engine angular velocity pulse pattern recognition

    University essay from Uppsala universitet/Signaler och system

    Author : David Nyman; [2020]
    Keywords : machine learning; supervised machine learning; neural network; internal combustion engine; fault diagnosis;

    Abstract : In a modern diesel engine, a fuel injector is a vital component. The injectors control the fuel dosing into the combustion chambers. The accuracy in the fuel dosing is very important as inaccuracies have negative effects on engine out emissions and the controllability. READ MORE