The forecasting of the rainfall during December until May in Khorasan province (Northeast of Iran) by use of Adaptive Neuro – Fuzzy Inference System and Mamdani Fuzzy Inference System has been illustrated .This method ...

Energy management and reduction of CO2 emission lead to many investigates about energy input–output analyses especially in agricultural sector. The main objectives of this study are to assess the energy use pattern and to ...

. soft computing is an innoviate approch to constract computationally intelligent systems that are supposed to posses humanlike experties within a specific domain adopt themselves and learn to do better inchanging environment and expliend how they make...

Accurate and reliable suspended sediment load (SSL) prediction models are necessary for planning and management of water resource structures. More recently, soft computing techniques have been used in hydrological and environmental modeling...

. Consequently, none of the current empirical equations alone seem to be able to model the flow process exactly. In recent years, soft computing, in contrast to classical modeling techniques, has been dvocated as a hybrid approach to intelligent paradigms...

specific groups. The objective of this paper is to incorporate several soft computing techniques into the classifying system to detect and classify intrusions from normal behaviors based on the attack type in a computer network. Among the several soft...

The main purpose of this paper is to incorporate several soft computing techniques into the classifying system to detect and classify intrusions from normal behaviors based on the attack type in a computer network. Several soft computing paradigms...

An accurate approach for drilling rate prediction using a new soft computing approach is introduced in this paper. Drilling rate prediction is an important issue due to its crucial role in minimizing drilling cost. However, a large number...