permeability prediction problem has been examined using several methods such as empirical formulas, regression analysis and intelligent systems especially neural networks and fuzzy logic. this study proposes an improved and novel model for predicting permeability from conventional well log data. the methodology is integration of empirical formulas, multiple regression and neuro-fuzzy in a commi...

Marriage in Honey Bees Optimization (MBO) is a new swarm intelligence technique inspired by the marriage process of honey bees. It has been shown to be very effective in solving the propositional satisfiability problem known as 3–SAT (each clause has exactly three literals). The objective of this paper is to test a conventional annealing approach as a basis for determining the pool of drones (f...

background: reported cases of uncontrolled use of pesticides and its produced effects by direct or indirect exposition, represent a high risk for human health. therefore, in this paper, it is shown the results of the development and execution of an algorithm that predicts the possible effects in endocrine system in fisher 344 (f344) rats, occasioned by ingestion of malathion. methods: it was re...

We study the storage capacity of a fully-connected committee machine with a large number K of hidden nodes. The storage capacity is obtained by analyzing the geometrical structure of the weight space related to the internal representation . By examining the asymptotic behavior of order parameters in the limit of large K, the storage capacity Q c is found to be proportional to ]{ Jln ]{ up to th...

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...

Data-driven modelling is the area of hydroinformatics undergoing fast development. This chapter reviews the main concepts and approaches of data-driven modelling, which is based on computational intelligence and machine-learning methods. A brief overview of the main methods – neural networks, fuzzy rule-based systems and genetic algorithms, and their combination via committee approaches – is pr...

Decision making is the most important part in everyday life. We make numerous decisions throughout day from small to big decisions. These involve choosing which food eat bank invest money. Another word for decision choices. In [1], artificial intelligence was demonstrated as solutions solve problems. At a more general level, we need order This paper about that. It illustrates simple concept