Estimation of the metal value in the metallic deposits is one of the important factors to evaluate the deposits in exploration studies andmineral processing. Therefore, one accurate estimator is essential to obtain a fine insight into the accumulation of the ore body. Thereare geostatistical methods for the estimation of the concentration of iron which performance of these models is complexity ...

The authors are presenting a thorough introduction in Artificial Neural Networks (ANNs) and their contribution to modern Urologic Oncology. The article covers a description of Artificial Neural Network methodology and points out the differences of Artificial Intelligence to traditional statistic models in terms of serving patients and clinicians, in a different way than current statistical anal...

BACKGROUND The purpose of this study is to develop and analyze an open-source artificial intelligence program built on artificial neural networks that can participate in and support the decision making of nuclear medicine physicians in detecting coronary artery disease from myocardial perfusion SPECT (MPS). METHODS AND RESULTS Two hundred and forty-three patients, who had MPS and coronary ang...

in recent years, researches on reinforcement learning (rl) have focused on bridging the gap between adaptive optimal control and bio-inspired learning techniques. neural network reinforcement learning (nnrl) is among the most popular algorithms in the rl framework. the advantage of using neural networks enables the rl to search for optimal policies more efficiently in several real-life applicat...

ion and Representation of Continuous Variables in Connectionist Networks Eric Saund Department of Brain and Cognitive Sciences and the Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge, Massachusetts 02139

This paper contributes an overview of application of intelligent tools into the sector of b2b training. We present three prototype intelligent tools developed with artificial intelligence techniques (neural-networks and fuzzy-logic) which have been successfully applied to business training.

This paper develops a representation of multi-model based controllers by using artificial intelligence typical structures. These structures will be neural networks, genetic algorithms and fuzzy logic. The interpretation of multimodel controllers in an artificial intelligence frame will allow the application of each specific technique to the design of multimodel based controllers. A method for s...

An attempt has been made to simulate the temperature distribution in prostate cancer tissue during laser ablation using finite element approach. Parameter studies have been carried out. The results have been consolidated using tool of artificial intelligence-Artificial Neural Network. Feed forward back propagation network has been used for this purpose. It has been found that artificial neural ...

To utilize the the concept of combining various modern artificial intelligence methods — namely neural networks, genetic algorithms and fuzzy logic controllers — we develop a unified software platform called Bang2. The system serves as a library for many artificial intelligence methods and allows for easy creation of such combinations, and possibly their semi-automated generation, or even evolu...

The phenomenon of online social networking has evolved to include more than the teenage stereotype looking to expand his/her network of online friends. People of all ages and backgrounds have discovered that they can enrich their lives through the contacts they make on a social networking website. The social networks must progress to make the user's life easier with the aim of providing securit...