slope stability analysis is an enduring research topic in the engineering and academic sectors. accurate prediction of the factor of safety (fos) of slopes, their stability, and their performance is not an easy task. in this work, the adaptive neuro-fuzzy inference system (anfis) was utilized to build an estimation model for the prediction of fos. three anfis models were implemented including g...

mucopolysaccharidoses are a group of rare mostly autosomal recessive metabolic and genetic disorders. because of the high rate of consanguinity, they are not uncommon in our population. clinical diagnosis is not difficult for experienced physicians, but it is not enough for treatment and prevention measures in the future pregnancies. so, it is necessary to detect the type of mps by measurement ...

permeability can be directly measured using cores taken from the reservoir in the laboratory. due to high cost associated with coring, cores are available in a limited number of wells in a field. many empirical models, statistical methods, and intelligent techniques were suggested to predict permeability in un-cored wells from easy-to-obtain and frequent data such as wireline logs. the main obj...

Allostery and correlated motion are key elements linking protein dynamics with mechanisms of action proteins. Here we present PDBCor, an automated unbiased method for the detection analysis motions from experimental multi-state structures using torsion angle distance statistics that does not require any structure superposition. Clustering conformers allows us to extract correlations in form mut...

Identifying clusters is an important aspect of data analysis. This paper proposes a noveldata clustering algorithm to increase the clustering accuracy. A novel game theoretic self-organizingmap (NGTSOM ) and neural gas (NG) are used in combination with Competitive Hebbian Learning(CHL) to improve the quality of the map and provide a better vector quantization (VQ) for clusteringdata. Different ...

the aim of this paper is analyzing the role of psychology of numbers in financial markets and in this area, investigates the price clustering phenomenon in trading prices of tehran stock exchange. price clustering is one of anomalies that have been observed in financial markets that representative psychological biases or tendency to specific numbers in the market. this phenomenon includes of de...

Nowadays, the Fuzzy C-Means method has become one of the most popular clustering methods based on minimization of a criterion function. However, the performance of this clustering algorithm may be significantly degraded in the presence of noise. This paper presents a robust clustering algorithm called Bilateral Weighted Fuzzy CMeans (BWFCM). We used a new objective function that uses some k...

one of the most important aspects of software project management is the estimation of cost and time required for running information system. therefore, software managers try to carry estimation based on behavior, properties, and project restrictions. software cost estimation refers to the process of development requirement prediction of software system. various kinds of effort estimation patter...