It is impossible to analyze an asset taken in isolation, without taking into account the wider picture of the market. This fact is behind the extensive use of copulas or vector autoregressive models in finance, which allow to model dependencies between assets. In this paper, we look at the...

I extend traditional projection methods by using neural networks as a function approximator to solve continuous-time models. The method is well-suited for high-dimensional settings such as those that arise in the presence of many assets, and can capture the strong non-linearities that occur for...

This work presents a potent multiobjective multiverse algorithm to solve the highly complicated dynamic economic emission dispatch problem. Solving the dynamic economic dispatch problem with power balance equality constraint, valve point constraints, and ramp limit constraints not only minimizes...

Today's dependence on technology increases human need for iron ore products, and forecasts suggest that by the year 2035 demand for steel 60 percent increase (Mohammadi, Soltani Mohammadi, and the donor of security 2035) For this reason, predicting the price of metals such as iron ore using...

In this paper, we present a neural network system related to about memory and recall that consists of one neuron group (the “cue ball”) and a one-layer neural net (the “recall net”). This system realizes the bidirectional memorization learning between one cue neuron in the cue ball and...

Time series forecasting of meteorological variables, such as the hourly air temperature, has multiple benefits for industry, agriculture, and the environment. Due to the high accuracy required for the associated short-term predictions, traditional methods cannot satisfy the requirements and...

Generative Adversarial Nets (GANs) have received considerable attention from many research fields after being originally introduced by Goodfellow et al.[6]. The attention has led to come on the stage many extensions of the original idea of GANs. Consequently, new techniques and applications of...

To support the explosive growth of the Internet of Things (IoT), Uplink (UL) grant-free Non-Orthogonal Multiple Access (NOMA) emerges as a promising technology. It has the potential of offering scalable and low-cost solutions for the resource-constrained Massive Machine Type Communication (mMTC)...