Sökning: "neural-network"

Visar resultat 1 - 5 av 365 avhandlingar innehållade ordet neural-network.

1. 1. Neural Network Architecture Design : Towards Low-complexity and Scalable Solutions

   Författare :Alireza M. Javid; Saikat Chatterejee; Alexandros Iosifidis; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning :  Over the past few years, deep neural networks have been at the center of attention in machine learning literature thanks to the advances in computational capabilities of modern graphical processing units (GPUs). This progress has made it possible to train large scale neural networks by using thousands, and even millions, of training samples to achieve outstanding estimation accuracy in various applications that were not simply possible before. LÄS MER

3. 2. The use of Bayesian confidence propagation neural network in pharmacovigilance

   Författare :Andrew Bate; Umeå universitet; []
   Nyckelord :adverse drug reactions; pharmacovigilance; signal detection; spontaneous reporting; data mining; Bayesian statistics; BCPNN; neural network; medicinsk farmakologi; Medical Pharmacology;

   Sammanfattning : The WHO database contains more than 2.8 million case reports of suspected adverse drug reactions reported from 70 countries worldwide since 1968. The Uppsala Monitoring Centre maintains and analyses this database for new signals on behalf of the WHO Programme for International Drug Monitoring. LÄS MER

4. 3. Building energy load predictions : Based on neural network techniques

   Författare :Thomas Olofsson; Staffan Andersson; Ronny Östin; Umeå universitet; []
   Nyckelord :;

   Sammanfattning : .... LÄS MER

5. 4. On Data Mining and Classification Using a Bayesian Confidence Propagation Neural Network

   Författare :Roland Orre; KTH; []
   Nyckelord :data mining; bcpnn; classification; neural network;

   Sammanfattning : The aim of this thesis is to describe how a statisticallybased neural network technology, here named BCPNN (BayesianConfidence Propagation Neural Network), which may be identifiedby rewriting Bayes' rule, can be used within a fewapplications, data mining and classification with credibilityintervals as well as unsupervised pattern recognition.BCPNN is a neural network model somewhat reminding aboutBayesian decision trees which are often used within artificialintelligence systems. LÄS MER

7. 5. High-Level Synthesis for SiLago : Advances in Optimization of High-Level Synthesis Tool and Neural Network Algorithms

   Författare :Yu Yang; Ahmed Hemani; Zhonghai Lu; Madhura Purnaprajna; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electronic Design Automation EDA ; Computer Aided Design CAD ; Algorithm-level Synthesis; SiLago; Optimization Techniques; Neural Network; Informations- och kommunikationsteknik; Information and Communication Technology;

   Sammanfattning : Embedded hardware designs and their automation improve energy and engineering efficiency. However, these two goals are often contradictory. The attempts to improve energy efficiency often come at the cost of engineering efficiency and vice-versa. High-level synthesis (HLS) is a good example of this challenge. LÄS MER