Sökning: "randomly generated networks"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden randomly generated networks.

1. 1. 3D Modeling of Factory Scenarios for 5G Evaluations

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Haodong Zhao; [2023]
   Nyckelord :;

   Sammanfattning : 5G is a key enabler for a variety of use cases in smart manufacturing which requires communications with high reliability and low latency. In a dynamic industrial environment, objects such as machines, production lines, storage shelves, robotic arms, and automatically guided vehicles may cause fading and have a large impact on radio propagation. LÄS MER

3. 2. Practical Analysis of the Giskard Consensus Protoco

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

   Författare :Leon Sandner; [2023]
   Nyckelord :Distributed Ledger; Blockchain; Consensus Protocol; Giskard; Hyperledger Sawtooth; Distribuerade Huvudbok; Blockchain; Konsensus; Giskard; Hyperledger Sawtooth;

   Sammanfattning : Consensus protocols are the core of modern blockchain systems, such as the Bitcoin, Ethereum, and Algorand networks. Thanks to these protocols, participants in a blockchain network can reach consensus on which blocks to add to a blockchain, to have a consistent chain of blocks in the whole network. LÄS MER

4. 3. Synthesis of Neural Networks using SAT Solvers

   Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Ludvig Warpe; August Johnson Palm; [2023]
   Nyckelord :Neural networks; Boolean satisfiability problems; SAT solvers;

   Sammanfattning : Artificial neural networks (ANN) have found extensive use in solving real-world problems in recent years, where their exceptional information processing is the main advantage. Facing increasingly complex problems, there is a need to improve their information processing. LÄS MER

5. 4. Imputing connections of random gene networks from time series data using ANNs

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

   Författare :Sofia Andersson; [2022]
   Nyckelord :artificial neural networks; ANNs; gene regulatory networks; GRNs; imputation; gene regulatory network imputation; GRN imputation; CNNs; convolutional neural network; randomly generated networks; ternary classification; binary classification; network inference; Physics and Astronomy;

   Sammanfattning : This thesis presents the architecture of a convolutional neural network which is trained to impute the connections of randomly generated gene regulatory networks under varying amounts of regularisation. The generated gene networks are simulated from 10 different starting conditions for each set of connections in order to obtain multiple time series. LÄS MER

7. 5. Transfer Learning in Deep Structured Semantic Models for Information Retrieval

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

   Författare :Sahand Zarrinkoub; [2020]
   Nyckelord :Deep learning; Deep structured semantic model; information retrieval; machine learning; natural langugange processing; neural information retrieval; Djupinlärning; informationssökning; maskininlärning; språkteknologi; neurala sökmotorer;

   Sammanfattning : Recent approaches to IR include neural networks that generate query and document vector representations. The representations are used as the basis for document retrieval and are able to encode semantic features if trained on large datasets, an ability that sets them apart from classical IR approaches such as TF-IDF. LÄS MER