We present a method for simulating yield curve dynamics by learning the curve distribution from historical data using Artificial Neural Networks (ANN) in a two step procedure. The first step involves an autoencoder which performs a quantization of curve moves, generating a set of representative...

The race for urbanization and thirst for high living status leads to unhealthy life. As the result a rapid growth in number of diabetic patients in urban areas approaching to its deadline. In this situation it become a prime necessity for physicians and health workers to recognize accurate...

This article proposes a comparison of different approaches in the lighting optimization process. Beginning with the dual Fluo/LED luminaires, a neural network model is designed to represent the relationship between dimming levels of luminaires and illumination. A similar model is built with a...

We consider the application of a control variate technique for Deep Learning. In analogy to applications for Monte Carlo simulation or Fourier integration methods, this technique improves the quality of deep learning applied to option pricing problems. Many well known approximation methods are...

Accurate forecast of electricity load are increasingly important. We present a method to forecast long-term weather-dependent hourly electricity load using artificial neural networks. The fully connected dense artificial neural networks with 5 hidden layers and 1,024 hidden nodes per layer are...

In this paper we have proposed a model for prediction of supplementary of a certain subject using machine learning approach. It is a basically classification system that spots whether a student would get supplementary or not. Individual or subject wise chances of getting supplementary can be...

The e-Commerce industries require efficient recommendation model to maximize the profit and user satisfaction. Recommendation system assists consumers to find their relevant items of interest. The state-of-art models are designed by considering long-term consumer context. However, in the current...