SU+ Digital Repository
metadata only
Application of artificial neural networks in time series forecasting
Submitted to the School of Computing and Informatics (SCI) of The University of Nairobi in partial fulfillment of the requirements for the degree of Master of Science in Information Systems (MSc.IS)
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Machine Learning for Time Series Forecasting: Models, Benchmarks, and Challenges – A Case Study#384735
- Modeling and forecasting of financial time series in emerging markets using multilayer perceptrons#466543
- Enhanced Saudi Stock Prices Forecasting with Technical Indicators and Deep Learning Ensembles#191234
- A Comparative Analysis of Machine Learning Models for Time Series Forecasting in Finance#354232
- Editorial: Smart forecasting: deep learning and explainable AI for real-world time series prediction.#1091294
Record · ID 938560
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive