With the manipulator performs fixed-point tasks, it becomes adversely affected by external
disturbances, parameter variations, and random noise. Therefore, it is essential to improve …

The fault diagnosis intelligent algorithm makes full use of the associative memory and
pattern recognition function of the neural network to compare the abnormal value of various …

Aiming at the shortages of basic flower pollination algorithm (FPA) with slow convergence
speed, low search precision, and easy to fall into local optimum, a new adaptive FPA based …

NO x emission in iron and steel enterprises mainly comes from sintering flue gas. Traditional
artificial neural networks cannot meet the requirements of computational accuracy and …

Background The outbreak and spread of COVID-19 has brought a tremendous impact on
undergraduates' study and life, and also caused anxiety, depression, fear and loneliness …

It is important to improve the classification accuracy and reduce the storage space when
probabilistic neural networks are used for pattern classification tasks. Based on a unit …

The rotation orientation and the angle of precision of an intelligent ball joint cannot be
automatically obtained in passive motion. In this paper, a new method based on a Hall …

This paper puts forward a new weighting method for combined forecasting model-MSSE
(Minimum Sum of Squared Errors), and combining ARIMA (Autoregressive Integrated …

Bionic electronic skin can accurately sense and locate surface pressure, which is widely
demanded in many fields. Traditional electronic skin design usually relies on grid …

An imbalanced class distribution introduces the difficulty in classification tasks and exists in
various real-world applications. Imbalanced class distribution happens when minority class …