In this paper, we investigated interactive learning between human subjects and robot experimentally, and its essential characteristics are examined using the dynamical systems approach. Our research concentrated on the navigation system of a specially developed humanoid robot called Robovie and seven human subjects whose eyes were covered , making them dependent on the robot for directions. We ...

As we all know, power quality (PQ) issues are a major concern these days. Field programmable gate array (FPGA) essential in PQ analysis, particularly smart meters for data processing, storage, and transmission. One of the most significant advantages FPGA is its reconfigurability, with vast hardware resources that can be used to implement complex as well time-critical processing units. Because a...

The present paper, deal with energy modeling and optimization of developed mathematical of high temperature fuel cell, e.g. Molten Carbonate Fuel Cell (MCFC). In the present w o r k d e v e l o p e d mathematical model of molten carbonate fuel [1]. Codes for the MCFC single cell stack model have been generated using the MATLAB software. Using the developed Mathematical model, various parameters...

Direct Sequence Code Division Multiple Access (DS-CDMA) is a schemewhere several users transmit their data simultaneously over common wireless communication channel,by spreading each by distinct codes. At the receiver, individual are detected appropriate decoding. In this paper, new smart receiver proposed for detecting DS-CDMA signals based on multi-layer Feed Forward Neural Network (FFNN). Th...

Abstract The present study uses a wavelet-based clustering technique to identify spatially homogeneous clusters of groundwater quantity and quality data select the most effective input for feed-forward neural network (FFNN) model predict level (GL), pH HCO3? in groundwater. In second stage this methodology, first, GL, time series different piezometers were de-noised using threshold-based wavele...

Brain tumours are considered one of the deadliest in humans and have a low survival rate due to their heterogeneous nature. Several types benign malignant brain need be diagnosed early administer appropriate treatment. Magnetic resonance (MR) images provide details brain’s internal structure, which allow radiologists doctors diagnose tumours. However, MR contain complex that require highly qual...

In this work, adaptive learning of a monitored real-time stochastic phenomenon over an operational LTE broadband radio network interface is proposed using cascade forward neural (CFNN) model. The optimal architecture the model has been implemented computationally in input and hidden units by means incremental search process. Particularly, we have applied adaptive-based cascaded for realistic pr...

In this paper, several neural network and statistical learning approaches are proposed that learn to make human like decisions for the job assignment problem of the US Navy. Comparison study of Feedforward Neural Networks (FFNN), Adaptive Neuro-Fuzzy Inference System (ANFIS), Support Vector Machine (SVM) and Adaptive Bayes (AB) classifier with Generalized Estimation Equation (GEE) is provided. ...

This article presents different combinations of input parameters based on an intelligent technique, using neural networks to predict daily global solar radiation (GSR) for twenty-five Moroccan cities. The collected measured data are available 365 days and 25 stations around Morocco. Different used, such as clearness index K T , day number, the length day, minimal temperature min maximal max ave...