Search for dissertations about: "network algorithm"
Showing result 1 - 5 of 505 swedish dissertations containing the words network algorithm.
-
1. Network Parameterisation and Activation Functions in Deep Learning
Abstract : Deep learning, the study of multi-layered artificial neural networks, has received tremendous attention over the course of the last few years. Neural networks are now able to outperform humans in a growing variety of tasks and increasingly have an impact on our day-to-day lives. READ MORE
-
2. Adaptive Measurement Strategies for Network Optimization and Control
Abstract : The fifth generation networks is rapidly becoming the new network standardand its new technological capabilities are expected to enable a far widervariety of services compared to the fourth generation networks. To ensurethat these services can co-exist and meet their standardized requirements,the network’s resources must be provisioned, managed and reconfigured ina far more complex manner than before. READ MORE
-
3. Dealing with Network Partitions and Mergers in Structured Overlay Networks
Abstract : Structured overlay networks form a major classof peer-to-peer systems, which are touted for their abilitiesto scale, tolerate failures, and self-manage. Any long livedInternet-scale distributed system is destined to facenetwork partitions. READ MORE
-
4. Reinforcement in Biology : Stochastic models of group formation and network construction
Abstract : Empirical studies show that similar patterns emerge from a large number of different biological systems. For example, the group size distributions of several fish species and house sparrows all follow power law distributions with an exponential truncation. READ MORE
-
5. Resource Allocation with Potts Mean Field Neural Network Techniques
Abstract : Potts mean field artificial neural network techniques are developed and applied to airline crew scheduling problems and routing problems. A propagator formalism in terms of Potts neurons is developed to handle global topological issues. An integrated method for identifying and classifying ECG complexes is presented. READ MORE