Sökning: "intelligence brain"

Visar resultat 11 - 15 av 55 uppsatser innehållade orden intelligence brain.

1. 11. Predictive MR Image Generation for Alzheimer’s Disease and Normal Aging Using Diffeomorphic Registration

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yuqi Zheng; [2023]
   Nyckelord :Medical Image Generation; Brain Aging; Diffeomorphic Registration; AlzheimerŠs Disease; Medicinsk bildgenerering; Åldrande av hjärnan; DiffeomorĄsk registrering; Alzheimers sjukdom;

   Sammanfattning : Alzheimer´s Disease (AD) is the most prevalent cause of dementia, signifying a progressive and degenerative brain disorder that causes cognitive function deterioration including memory loss, communication difficulties, impaired judgment, and changes in behavior and personality. Compared to normal aging, AD introduces more profound cognitive impairments and brain morphology changes. LÄS MER

3. 12. Optimizing L2-regularization for Binary Classification Tasks

   Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Författare :Oskar Bolinder; [2022]
   Nyckelord :Machine learning; Overtraining; L2-regularization; Model selection; Binary classification; Physics and Astronomy;

   Sammanfattning : An Artificial Neural Network (ANN) is a type of machine learning algorithm with widespread usage. When training an ANN, there is a risk that it gets overtrained and cannot solve the task for new data. Methods to prevent this, such as L2-regularization, introduce hyperparameters that are time-consuming to optimize. LÄS MER

4. 13. Investigating the use of Semiconductor Nanowires for Neural Networks

   Master-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

   Författare :Alfredo Serafini; [2022]
   Nyckelord :FDTD method and simulation; optical broadcasting neural network; optical communication of nanowires; sub-wavelength absorption.; Physics and Astronomy;

   Sammanfattning : In this work, we intend to employ nanowires for the realisation of an artificial neuron which can be used to design a neural network that will guide the new generation of non-von Neumann architectures such as Neuromorphic Computing. Possible applications are strongly related to Neuromorphic architectures and artificial intelligence, such as high-performance computers, robotics hardware and autonomous drones. LÄS MER

5. 14. Combined Regularisation Techniques for Artificial Neural Networks

   Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Författare :Joseph Binns; [2022]
   Nyckelord :Artificial Neural Networks; ANNs; Overfitting; Combined Regularisation Techniques; Regularisation Techniques; Regularisation; L2; Weight Decay; Dropout; Early Stopping; Physics and Astronomy;

   Sammanfattning : Artificial neural networks are prone to overfitting – the process of learning details specific to a particular training data set. Success in preventing overfitting through combining the L2 and dropout regularisation techniques has led to the combination’s recent popularity. LÄS MER

7. 15. Combining Cross-Validation and Ensemble Creation for Artificial Neural Networks

   Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Författare :Anna Lena Hölldobler; [2022]
   Nyckelord :Artificial Neural Networks; Cross-Validation; Ensemble Creation; Physics and Astronomy;

   Sammanfattning : Artificial neural networks (ANNs) are widely used nowadays, and the research into improving their performances is continually ongoing. One main goal of ANNs is to have a high generalization performance, which can be estimated through validation. LÄS MER