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Neural Networks Predictive model

Neural Networks Predictive model

The idea behind this demo is to show you how easy it is to operationally deploy a predictive solution once it is represented in PMML, the Predictive Model Markup Language. As a model building environment, I use KNIME to generate a neural network model for predicting customer churn. Once data pre-processing and model are represented in PMML, I go on to deploy it in the Amazon Cloud using the ADAPA Scoring Engine and on top of Hadoop using the Universal …

What problems can neural networks solve?

What problems can neural networks solve?

The starting point for this book is intelligence density. Intelligence density is a measure of the useful decision support information available. Dhar and Stein posit a 4 quadrant stretch plot to facilitate the understanding: - Quadrants:   - Q1: accuracy, explainability, response speed   - Q2: scalability, compactness, flexibility, embeddability, ease of use   - Q3: tolerance for complexity, tolerance for noise in data, toleance for sparse data …

Portfolio Selection Using Neural Networks

Portfolio Selection Using Neural Networks

First and foremost, timing is everything. And not just in humor. The correct timing is the sole requirement for profitability. Whether it be signals generated by a statistical model, or an important event in the news, all information is incorporated very quickly into market prices. Thus, the only thing that matters is timing each trade just right, whether that means capturing imbalances in supply and demand at the microstructure level, parsing news …

Neural networks lottery numbers

Neural networks lottery numbers

First of all, do not even try. It is just a geek and fancy way to generate numbers. Last Wednesday, the lottery was accumulated in 115.., 00 BRL (about 70.., 00 USD) and I needed to have a try. Well, I have never played with Artificial Neural Networks, and I knew how it worked. So it was time to give a try. For Dummies - Section 1 How Feedforward Artificial Neural Networks works A Feedforward NN (neural network) is a set of valued nodes (normally …

Technical chart analysis

Technical chart analysis

Since March 2010, Apple (before resuming its uptrend) has tagged its 50-day moving average 3 separate times; in 2012 it has yet to do that.  This is a possible destination that Apple can head to if macro economic conditions continue to worsen. In the past few weeks, Apple was in a bear channel and as soon as it touched its middle bollinger band, it quickly reversed upward, which is a very impressive sign of strength.  Apple's powerful reversal encountered resistance …

Neural Network Two Mark

Neural Network Two Mark

ScienceDirect.com - Computer Methods in Applied Mechanics and

Artificial Neural Networks by B.Y.O.B

Artificial Neural Networks by B.Y.O.B

An artificial neural network, often just called a neural network, is a mathematical. An artificial neural network is an interconnected group of nodes. Artificial neural networks are composed of interconnecting artificial neurons (programming. Simplified view of a feedforward artificial neural network. of Urbanism/Architecture, with the theme BYOB (Bring Your Own Biennale). her Ph.D. at CUHK with focuses in the areas of artificial neural network …

Neural Networks and supply

Neural Networks and supply

Full Citation Rabelo, L., Helal, M., Lertpattarapong, C. 2004. An analysis of the supply chains using system dynamics, neural nets and eigenvalues. The Winter Simulation Conference, WSC’04, Dec 5-8, Washington DC Abstract Supply chain management is a critically significant strategy that enterprises depend on in meeting the challenges of today’s highly competitive and dynamic business environments. An important aspect of supply chain management is …