New Neuro-Fuzzy Systems, using algorithms for unsupervised fuzzy clustering based on so-called Weighted Neural Networks, are introduced and used for Unsupervised Image Segmentation. New incremental and fixed (or grid-partitioned) Weighted Neural Networks (WNN) are introduced and used for this purpose. The WNN algorithm (incremental or grid-partitioned) produces a net, of nodes connected by edge...

This article presents a comparison between two types of intelligent models: Artificial Neural Networks ANN and Adaptative Neuro-Fuzzy Interference System ANFIS, for forecasting flows in a section of Bogotá (Colombia) river, looking for the most efficient. The simulation was performed in the Matlab computer software, with data collected by hydrological stations of the Corporación Autónoma Region...

The main problem associated with the traditional approach to image classification for the mapping of hydrothermal alteration is that materials not associated with hydrothermal alteration may be erroneously classified as hydrothermally altered due to the similar spectral properties of altered and unaltered minerals. The major objective of this paper is to investigate the potential of a neuro-fuz...

Modularisation, repetition, and symmetry are structural features shared by almost all biological neural networks. These features are very unlikely to be found by the means of structural evolution of artificial neural networks. This paper introduces NMODE, which is specifically designed to operate on neuro-modules. NMODE addresses a second problem in the context of evolutionary robotics, which i...

This paper implements a Neuro-Fuzzy (FNN) approach to autonomously navigate a car-like robot in an unknown environment. The applied technique allows the robot to avoid obstacles and locally search for a path leading to the goal after learning and adaptation. It is based on two Fuzzy Artmap neural networks, a Reinforcement trial and error neural network and a Mamdani fuzzy logic controller (FLC)...

To expand the flight envelope of a typical jet transport and to minimize number of tests for the certification process, a design methodology has been proposed based on neural networks. The design procedure leads to an intelligent neuro-controller for landing phase that can handle different wind patterns. The procedure uses, a classical PID controller as the teaching mechanism of a neuro-control...

today, stock investment has become an important mean of national finance. apparently, it is significant for investors to estimate the stock price and select the trading chance accurately in advance, which will bring high return to stockholders. in the past, long-term trading processes and many technical analysis methods for stock market were put forward. however, stock market is a nonlinear sys...

in recent decades artificial neural networks (anns) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed very good performance. this paper presents the application of artificial neural networks to predict drought in yazd meteorological station. in this research, different archite...