Essays about: "biological networks"
Showing result 16 - 20 of 82 essays containing the words biological networks.
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16. Automating Water Orientation in Neutron Crystallography using Convolutional Neural Networks
University essay from Lunds universitet/Matematik LTHAbstract : One important aspect of determining the functionality of proteins is to find the direction of the dipole moment of surrounding water molecules. This is equivalent to finding the position of the hydrogen in water, however with the current atomistic model building tools this is a tedious and time-consuming task. READ MORE
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17. Evolutionary Properties of Neural Networks: Exploration of Robustness and Evolvability in the Genotype-Phenotype Map
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Evolution is a fundamental and crucial part of life that hinges on two central properties: robustness and evolvability. Robustness is required to maintain essential traits despite mutations while evolvability produces novel traits that might prove beneficial in survival. READ MORE
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18. Biologically informed neural network for subphenotype classification in septic AKI
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Sepsis is a life threatening condition where the body’s reaction to an infection results in a dysregulated immune response - ultimately causing damage to tissues and organs. The syndrome is diverse, both in underlying biology, disease manifestation and severity, and is therefore divided into endotypes and further into subphenotypes. READ MORE
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19. Exploring the column elimination optimization in LIF-STDP networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Spiking neural networks using Leaky-Integrate-and-Fire (LIF) neurons and Spike-timing-depend Plasticity (STDP) learning, are commonly used as more biological possible networks. Compare to DNNs and RNNs, the LIF-STDP networks are models which are closer to the biological cortex. READ MORE
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20. Spiking Reinforcement Learning for Robust Robot Control Under Varying Operating Conditions
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Over the last few years, deep reinforcement learning (RL) has gained increasing popularity for its successful application to a variety of complex control and decision-making tasks. As the demand for deep RL algorithms deployed in challenging real-world environments grows, their robustness towards uncertainty, disturbances and perturbations of the environment becomes more and more important. READ MORE
