The existing original BP neural network models for wood performance prediction have low fitting accuracy and imprecise results. We propose a nonlinear, adaptive grouping gray wolf optimization (NAGGWO)-BP model prediction. Firstly, the (GWO) algorithm is optimized. CPM mapping (the Chebyshev method combined with piecewise followed by mod operation) to generate initial populations improve popula...

Abstract The two-wheeled self-balancing robot (TWSBR) is based on the axletree and inverted pendulum. Its balancing problem requires a control action. To speed up response of minimize steady state error, in this article, grey wolf optimizer (GWO) method proposed for TWSBR space feedback technique. controller stabilizes minimizes overshoot value system. dynamic model system derived Euler formula...

Sliding pressure control is a well-known method of controlling supercritical power plants that improves energy efficiency and reduces dynamic stresses. This paper presents novel approach for developing cleaner coal plant’s sliding strategy. First, using Whale Optimizer, nonlinear identified transfer matrix model was created (WO). By comparing simulations errors, the WO clearly outperforms GA Gr...

In recent years, Bitcoin and other cryptocurrencies have been increasingly considered an investment option for emerging markets. However, its erratic behavior has discouraged some potential investors. To get insights into price fluctuation, past studies discovered the correlation between Twitter sentiments behavior. Most of them focused exclusively on their relationships, instead sentiment anal...

Pest detection in agricultural crop fields is the most challenging task, so an effective pest technique required to detect insects automatically. Image processing techniques are widely preferred science because they offer multiple advantages like maximal protection, improved management and productivity. On other hand, developing automatic monitoring system dramatically reduces workforce errors....

A design of an optimal backstepping fractional order proportional integral derivative (FOPID) controller for handling the trajectory tracking problem wheeled mobile robots (WMR) is examined in this study. Tuning parameters a challenging task, to overcome issue hybrid meta-heuristic optimization algorithm has been utilized. This evolutionary technique known as whale grey wolf optimizer (HWGO), w...

To address the problem of insufficient coverage WSN and poor network in obstacle environments, study proposes an improved particle swarm optimization (PSO) combined with a hybrid grey wolf algorithm. The speed position PSO particle's search for superiority are enhanced through guiding nature superior (GWO), thus convergence precision improved. Based on this, applies to wireless sensor networks ...

In this modern era, due to demand for cloud environments in business, the size, complexity, and chance of attacks virtual network (VCN) are increased. The protection VCN is required maintain faith users. Intrusion detection essential secure any network. existing approaches that use conventional neural cannot utilize all information identifying intrusions. paper, anomaly-based NIDS proposed. For...