Permeability is the ability of porous rock to transmit fluids and one of the most important properties of reservoir rock because oil production depends on the permeability of reservoirs. Permeability is determined using a variety of methods which are usually expensive and time consuming. Reservoir rock properties with image analysis and intelligent systems has been used to reduce time and money...

Learning and reasoning are both aspects of what is considered to be intelligence. Their studies within AI have been separated historically, learning being the topic of neural networks and machine learning, and reasoning falling under classical (or symbolic) AI. However, learning and reasoning share many interdependencies, and the integration of the two may lead to more powerful models. This dis...

BACKGROUND Small manufacturing businesses often lack important safety programs. Many reasons have been set forth on why this has remained a persistent problem. METHODS The National Machine Guarding Program (NMGP) was a nationwide intervention conducted in partnership with two workers' compensation insurers. Insurance safety consultants collected baseline data in 221 business using a 33-questi...

INTRODUCTION Ensemble Data Mining Methods, also known as Committee Methods or Model Combiners, are machine learning methods that leverage the power of multiple models to achieve better prediction accuracy than any of the individual models could on their own. The basic goal when designing an ensemble is the same as when establishing a committee of people: each member of the committee should be a...

The knowledge discovery in distributed databases represents the overall process of obtaining useful information from data that is stored in a replication topology on multiple computing systems. Distributed committee machines are formed by many neural networks that work in a distributed manner on multiple computing systems for resolving one data mining task. These architectures are the most suit...

few years ago, a number of news stories appeared here and there announcing "fundamental breakthroughs" in the development of machine translation from Russian into English and declaring that workable machine translation systems, if not already a reality, were just around the corner. Since then, one or two government agencies have begun to operate automatic translation facilities with which some ...

Statistical mechanics is used to study unrealizable generalization in two large feed-forward neural networks with binary weights and output, a perceptron and a tree committee machine. The student is trained by a teacher being larger, i.e. having more units than the student. It is shown that this is the same as using training data corrupted by Gaussian noise. Each machine is considered in the hi...

Early in 1998, a steering committee was set up in the U.S. to look at a proton-proton collider with center of mass energy signi cantly above that of the LHC. The steering committee was set up in response to one of the recommendations of the 1997-1998 HEPAP Subpanel report on the future of U.S. High Energy Physics. The steering committee chose a temporary name for the machine, very large hadron ...