Accurate estimation of output quantiles is crucial in many use cases, where it desired to model the range possibility. Modeling target distribution at arbitrary quantile levels and input attribute are important offer a comprehensive picture data, requires function be expressive enough. The describing using critical for regression. Although various parametric forms distributions (that specifies)...

Neural networks are a relatively new technique of Artificial Intelligence that emulates the behavior of biological neural systems in digital software or hardware. These networks can “learn” automatically complex relationships between data. So, there is no need to previously propose any model to correlate the desired variables. This feature makes this technique very useful in the modeling of pro...

Neural networks are known to be effective function approximators. Recently, deep neural networks have proven to be very effective in pattern recognition, classification tasks and human-level control to model highly nonlinear realworld systems. This paper investigates the effectiveness of deep neural networks in the modeling of dynamical systems with complex behavior. Three deep neural network s...

Reliable channel modeling becomes an important measure in performance evaluation on various data detection algorithms. For this reason, correct and accurate modeling is required. This paper presents a nonlinear modeling of Super-RENS (Super-Resolution Near Field Structure) read-out signal using the second-order Volterra and neural network models. The experiment results verified the possibility ...

This chapter provides an overview of 3D object modeling approaches. It begins by briefly describing the issues in 3D object modeling and their impact on the quality of the resulting model. Then it looks in depth on classical 3D object modeling techniques and what they involve. It discusses advantages and disadvantages and gives possible applications for each described method. The presentation i...

Brain, body and environment are in continuous dynamical interaction, and it is becoming increasingly clear that an animal's behavior must be understood as a product not only of its nervous system, but also of the ongoing feedback of this neural activity through the biomechanics of its body and the ecology of its environment. Modeling has an essential integrative role to play in such an understa...