In this article, a speed control of DC motor is designed and illustrated using fuzzy logic-based programmable logic controller (PLC). The DC motor is an attractive part of electrical equipment in many industrial applications requiring variable speed and load specifications due to its ease of controllability. The designed system is consisted of three main parts including programmable logic contr...

The most common starting point for investors when buying a stock is to look at the trend of price changes. In recent years, different models have been used to predict stock prices by researchers, and since artificial intelligence techniques, including neural networks, genetic algorithms and fuzzy logic, have achieved successful re-sults in solving complex problems; in this regard, more exploita...

A MIMO (multiple inputs and multiple outputs) fuzzy-logic-based model was developed to predict biogas and methane production rates in a pilot-scale 90-L mesophilic up-flow anaerobic sludge blanket (UASB) reactor treating molasses wastewater. Five input variables such as volumetric organic loading rate (OLR), volumetric total chemical oxygen demand (TCOD) removal rate (R(V)), influent alkalinity...

Active microwave remote sensing observations hold the potential for efficient and reliable mapping of spatial soil moisture distributions. However, soil moisture retrievals from microwave remote sensing techniques are typically complex because of the inherent difficulty in characterizing the interactions among land surface parameters that contribute to the retrieval process. Therefore adequate ...

• Complementary advantages • logic can represent domain knowledge in a natural and expressive way • inductive logic programming (ILP) can generate theories and explanations • probabilities allow us to deal with uncertainty and noise in the data • Fixed unknown density ρ on X × Y • The optimal decision would be ρ(Y = 1|x) > 0.5 • Generative direction: model the class conditional densities p(x|y)...

We present a reasoning about actions framework based on a sum of epistemic logic S5 and propositional dynamic logic PDL together with a ‘no forgetting’ principle, also called perfect recall. We show that in our framework an action may be decomposed into a purely ontic action followed by a purely epistemic action. We also show that the latter is completely definable in terms of simple observatio...

The interfacial behaviors play significant roles in various composite materials and structures. This paper presents a logic-guided neural network to seamlessly integrate data-driven methods scientific knowledge predicting properties of steel-concrete composites. investigated include the bond strength, interface slip, bond-slip relationship. Three are proposed conform logic principles: (1) data ...

the classification and regression trees (cart) possess the advantage of being able to handlelarge data sets and yield readily interpretable models. in spite to these advantages, they are alsorecognized as highly unstable classifiers with respect to minor perturbations in the training data.in the other words methods present high variance. fuzzy logic brings in an improvement in theseaspects due ...

modeling of stream flow–suspended sediment relationship is one of the most studied topics in hydrology due to itsessential application to water resources management. recently, artificial intelligence has gained much popularity owing toits application in calibrating the nonlinear relationships inherent in the stream flow–suspended sediment relationship. thisstudy made us of adaptive neuro-fuzzy ...