due to its critical impact and significant destructive nature during and after seismic events, soil liquefaction and liquefactioninduced lateral ground spreading have been increasingly important topics in the geotechnical earthquake engineering field during the past four decades. the aim of this research is to develop an empirical model for the assessment of liquefaction-induced lateral ground ...

The genetic algorithm implemented with neural network to determine automatically the suitable network architecture and the set of parameters from a restricted region of space. The multilayer neural-genetic algorithm was applied in image processing for pattern recognition, and to determine the object orientation. The library to cover the views of object was build from real images of (10× 10) pix...

Design: At the heart of time series forecasting, if nonlinear and nonstationary data are analyzed using traditional series, results will be biased. same time, just machine learning without any consideration given to input from not much information can obtained because model is a black box. Purpose: In order better study we extend combination propose hybrid cascade neural network considering met...

In this paper, we interpret a fuzzy differential equation by using the strongly generalized differentiability concept. Utilizing the Generalized characterization Theorem. Then a novel hybrid method based on learning algorithm of fuzzy neural network for the solution of differential equation with fuzzy initial value is presented. Here neural network is considered as a part of large eld called ne...