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About Todor Balabanov ANN DE IICT EN Abstract 05 Apr 2017
This document is an abstract for a dissertation on developing a distributed system for time series forecasting using evolutionary algorithms and artificial neural networks. The key problems addressed are the lack of implementations for training fully-connected neural networks and the need for continuous retraining as new data becomes available. The goals of the dissertation are to implement models of fully-connected neural networks, enable continuous training even during operation, develop a hybrid training method combining numerical and heuristic algorithms, and create a client-server software system for distributed computing. The main tasks involve building client/server applications and enabling continuous distributed training of neural network copies on client machines.
Detailed Information
| Author: | ['Todor Balabanov'] |
|---|---|
| Publication Year: | 2017 |
| Pages: | 19 |
| Language: | English |
| Format: | |
| Price: | FREE |
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