Quality Publication | Affordable Price | Happy Authors
Comparison Of Activation Functions For Nse Stock Price Prediction
ANN timeseries prediction has been successfully implemented and tested on Nairobi securities exchange (NSE) stocks prediction by Barack (2014) and other stock exchanges (Safi & White 2017) worldwide. Many of the studies have focused on factors like training algorithm, network size and learning parameters bypassing selection of activation function. With the different type’s activation functions currently available for use in ANN, further studies need to be done to test if the activation functions or their combinations can improve performance of the ANN The study involved implementing of different networks containing varied activation functions and training and testing them with NSE data t
Download
Instant paper submission
Free plagiarism checking
No copyright transfer
Subject specific journals
Author loyalty reward

You may like to read


Towards The Design And Implementation Of A Legislature-electoral Base Information Circulation System

The Triadic Interplay Of Culture, Globalization And Cybercrime Trajectory In Nigeria Through

A Succinct Synopsis Of Data Classification Using K-nearest Neighbours Algorithm (knn)

Cybersecurity At The Heart Of Technological Apogee And Future Development

Development Of Microcontroller-based Real-time Control System For Home Appliances

Intelligent Systems Applications: A Review Of State Of Art