Modeling for the ball mill grinding process is still an imperative but difficult problem for the optimal control of mineral processing industry. Due to the integrated complexities of grinding process (strong nonlinearity, unknown mechanisms, multivariable, time varying parameters, etc.), a hybrid intelligent dynamic model is presented in this paper, which includes a phenomenological ball mill g...

This paper compares several model selection methods, based on experimental estimates of their generalization errors. Experiments in the context of nonlinear time series prediction by Radial-Basis Function Networks show the superiority of the bootstrap methodology over classical cross-validations and leave-one-out.

<span lang="EN-US">Nowadays, non-conventional energy sources like solar, wind, geothermal, and small hydro play a vital role in generating electricity. Among these, solar is utilized urban rural areas. When the sunlight falls on plate, PV cell produces charge carriers that produce an electric current. A photo voltaic used when it works at maximum power point. Traditional point tracking (M...

Abstract Intrusion Detection Systems (IDSs) have received more attention to safeguarding the vital information in a network system of an organization. Generally, hackers are easily entering into secured through loopholes and smart attacks. In such situation, predicting attacks from normal packets is tedious, much challenging, time consuming highly technical. As result, different algorithms with...

High-quality Normalized Difference Vegetation Index (NDVI) time series are essential in studying vegetation phenology, dynamic monitoring, and global change. Gap filling is the most important issue reconstructing NDVI from satellites with high spatial resolution, e.g., Landsat Chinese GaoFen-1/6 series. Due to sparse revisit frequencies of high-resolution satellites, traditional reconstruction ...

Background: Electroencephalography (EEG) has vital and significant applications in different medical fields and is used for the primary evaluation of neurological disorders. Hence, having easy access to suitable and useful signal is very important. Artifacts are undesirable confusions which are generally originated from inevitable human activities such as heartbeat, blinking of eyes and facial ...

The relationships between the fatigue crack growth rate ( d a / d N ) and stress intensity factor range ( Δ K ) are not always linear even in the Paris region. The stress ratio effects on fatigue crack growth rate are diverse in different materials. However, most existing fatigue crack growth models cannot handle these nonlinearities appropriately. The machine learning method provides a flexibl...