An Ensemble Decomposition-Based Artificial Intelligence Approach for Daily Streamflow Prediction

Commodity Futures Price Prediction , an Artificial Intelligence Approach by Ernest

This thesis describes an attempt to predict the next value in a financial time series using various artificial techniques. The time series in question consists of daily values for commodities futures. First, an artificial neural network is used as a predictor. Then the neural network is augmented with a genetic algorithm. The genetic algorithm first is used to select the parameters for the neur...

An Artificial Intelligence-Based Approach for Arbitration in Food Chains

Food chain analysis is a highly complex procedure since it relies on numerous criteria of various types: environmental, economical, functional, sanitary, etc. Quality objectives imply different stakeholders, technicians, managers, professional organizations, end-users, public collectivities, etc. Since the goals of the implied stakeholders may be divergent, decision-making raises arbitration is...

Bayesian Prediction for Artificial Intelligence

This paper shows that the common method used for making predictions under uncertainty in AI and science is in error. This method is to use currently available data to select the best model from a given class of models-this process is called abduction-and then to use this model to make predictions about future data. The correct method requires averaging over all the models to make a prediction-w...

Prediction Based Diagnosis Using Artificial Intelligence Methods

Predictive uncertainty of chaotic daily streamflow using ensemble wavelet networks approach

[1] Perfect or even mediocre weather predictions over a long period are almost impossible because of the ultimate growth of a small initial error into a significant one. Even though the sensitivity of initial conditions limits the predictability in chaotic systems, an ensemble of prediction from different possible initial conditions and also a prediction algorithm capable of resolving the fine ...