Home » Archive » Stock Market

Neural networks and the Stock market

Neural networks and the Stock market

Specifically, a financial predictor based upon neural networks will be explored. In general terms, these are leading indicators of stock market activity.

Mathematical Approaches to Neural Networks

Mathematical Approaches to Neural Networks

This book aims to strengthen the foundations in its presentation of mathematical approaches to neural networks. It is through these that a suitable. Mathematical Approaches to Neural Networks. Edited By. JG Taylor, University of London, King's College London, Centre for Neural Networks, Deparment of. Mathematical Approaches to Neural Networks. by; John Gerald Taylor (Editor). Like. 0. 0. Add to List +. Be the first to write a review.

Neural Networks software Applications

Neural Networks software Applications

Photography by Dana Silvestri You should know I had loved you ever since you told me your name. It seemed like a story out of a movie, the naïve young girl and the older heartbreaker next door. Nothing could have made you more intriguing – your car and coffees and cigarettes and sad eyes. I couldn’t tell you when I really started to fall, but I know I never tripped. I dove right in. Maybe I just didn’t want to believe it, but whatever we had was based …

Decision tree based Neural Networks

Decision tree based Neural Networks

(the article support page) University of Ostrava, 30. dubna 22, 70103 Ostrava, Czech Republic Authors: Vaclav Kocian, Eva Volna Article: PDF Presentation: PDF Abstract: In the paper we describe an experimental study which was aimed to explore the possibility of using neural network as the base algorithms for so called weak classifiers. We were interested in the possibility of using neural networks in place of commonly used decision trees. Our analysis …

Neural networks projects Ideas

Neural networks projects Ideas

Neural Network Project Ideas. 5. 3. I am a Computing student with AI major. I am now researching topics for my final year project and I'm quite interested. Neural Network in SA-C: The Cameron project at CSU has developed a way to.

Neural networks PPT Topics

Neural networks PPT Topics

In this topic the proposed system of self organized map method is used to recognize the devanagiri characters. The som is given training for hundred hand written devanagari characters. The som is trained for hundreds of hand written devanagari numerals. The network is tested for different sort of parameters such as o/p nodes, neighborhood size and no of cycle. The process of this training is repeated for a number of times. We begin thisn by considering …

Neural Networks dam failure breach

Neural Networks dam failure breach

MICROCONTROLLER BASED EMBEDDED PROJECT TOPICS FOR ECE 2012 BATCH   1. GSM mobile phone based automobile security system (I 2)    2. Finger Print based medical announcement system    3. GPS based automatic root announcement system for blind people    4. Controlling a large data acquisition system using on industrial SCADA system    5. Automatic multiple transformer fault detection and production system    6. On line vehicle tracking by using GPS and …

Java Neural Network Library encog

Java Neural Network Library encog

About the Encog Project Encog is an advanced neural network and machine learning framework. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using multithreaded resilient propagation. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks. Encog has been …