Reliable and precise multi-step-ahead tool wear state prediction is significant to modern industries for maintaining part quality reducing cost. This study proposes a Clustering Feature-based Recurrent Fuzzy Neural Network (CFRFNN) monitoring remaining useful life (RUL) based on K-means Clustering, (RFNN) Genetic Algorithm (GA). method utilized realize definition input signal division, which re...

This article presents and compares two neural network-based approaches to global selflocalization (GSL) for autonomous mobile robots using: (1) a Kohonen neural network; and (2) a region-feature neural network (RFNN). Both approaches categorize discrete regions of space (topographical nodes) in a manner similar to optical character recognition (OCR). That is, the mapped sonar data assumes the f...

In order to reduce the memory footprint and energy consumption of embedded microcontroller in mobile robot, the concise differential evolution algorithm based on chaotic local search (CDE-CLS) is proposed for online optimization of recurrent fuzzy neural network (RFNN) controller in robot path planning so that the robot can be adaptive real-time obstacle avoidance. The CDE-CLS algorithm reduces...

Owing to the data explosion and rapid development of artificial intelligence (AI), particularly deep neural networks (DNNs), ever-increasing demand for large-scale matrix-vector multiplication has become one major issues in machine learning (ML). Training evaluating such rely on heavy computational resources, resulting significant system latency power consumption. To overcome these issues, anal...

drought is random and nonlinear phenomenon and using linear stochastic models, nonlinear artificial neural network and hybrid models is advantaged for drought forecasting. this paper presents the performances of autoregressive integrated moving average (arima), direct multi-step neural network (dmsnn), recursive multi-step neural network (rmsnn), hybrid stochastic neural network of directive ap...

the safety of buried pipes under repeated load has been a challenging task in geotechnical engineering. in this paper artificial neural network and regression model for predicting the vertical deformation of high-density polyethylene (hdpe), small diameter flexible pipes buried in reinforced trenches, which were subjected to repeated loadings to simulate the heavy vehicle loads, are proposed. t...

with the increase of the volume of information and the progress in technology, the deficiency of traditional algorithms for fast information retrieval becomes more clear. when large volumes of data are to be handled, the use of neural network as an artificial intelligent technique is a suitable method to increase the information retrieval speed. neural networks present a suitable representation...