A Novel Hybrid Artificial Intelligence Approach to the Future of Global Coal Consumption Using Whale Optimization Algorithm and Adaptive Neuro-Fuzzy Inference System

Jalaee, Mahdis sadat; GhasemiNejad, Amin; Jalaee, Sayyed Abdolmajid; Zarin, Naeeme Amani; Derakhshani, Reza

doi:10.3390/en15072578

Cited by 12 publications

(8 citation statements)

References 34 publications

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“…e empirical results of the impact of AI on the technical efficiency of the cultural industry are shown in Table 13. Column (1) shows the OLS regression results with control variables. e AI coefficient of the explanatory variable is significantly positive, but it does not pass the significance test.…”

Section: Empirical Results and Robustnessmentioning

confidence: 99%

“…e empirical results of the impact of AI on the efficiency of technological progress in the cultural industry are shown in Table 14. Column (1) shows the OLS regression results with the control variable added. e AI coefficient of the explanatory variable is positive, indicating that the AI development level has a positive impact on the technological progress of the cultural industry.…”

Section: Empirical Results and Robustnessmentioning

confidence: 99%

“…From a global perspective, the development of cultural industries and the trade of cultural products are constantly impacting and changing the traditional economic form, which has a sustained and signi cant impact on the sustainable development of the world economy and the market pattern of world products and has become an important factor in improving the potential and quality of economic development and enhancing the innovation ability of countries or regions. Scienti c research management and the development of the cultural industry are of great signi cance to accelerate the transformation of economic mode, promote the adjustment of industrial structure and industrial transformation and upgrading, improve the national cultural soft power, and build an innovative country [1].…”

Section: Introductionmentioning

confidence: 99%

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Scientific Research Management Helping the Development of Regional Cultural Industry from the Perspective of Artificial Intelligence

Wang

2022

Mobile Information Systems

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In order to solve the problem that traditional scientific research management is restricted by management methods and tools, and it is difficult to realize the development of cultural industry, this paper proposes a research method that scientific research management helps the development of the regional cultural industry from the perspective of artificial intelligence. Based on a wavelet neural network based on artificial intelligence, this paper establishes the goodwill value evaluation of cultural industry development under scientific research management. Firstly, the paper uses the hierarchical structure theory to construct the theoretical analysis framework and evaluation index system of cultural value and divides the influencing factors of cultural industry value into three levels: input layer network structure, hidden layer network structure, and output layer network structure. Then the wavelet neural network method is used to analyze, and the three-layer network structure is superimposed to reflect the hierarchical relationship between the index systems. Through the combination of normative analysis and empirical analysis, it verifies that the method has unique advantages and feasibility and realizes the promotion of scientific research management to the development of the regional cultural industry.

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Section: Empirical Results and Robustnessmentioning

confidence: 99%

Section: Empirical Results and Robustnessmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Scientific Research Management Helping the Development of Regional Cultural Industry from the Perspective of Artificial Intelligence

Wang

2022

Mobile Information Systems

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“…In fuzzy PID control, the proportionality factor and quantization factor are generally determined based on experience and may need to be readjusted when the operating conditions change. In order to achieve self-tuning of parameters, this paper introduced the WOA [17] to improve the fuzzy PID control algorithm and develop the WOA-fuzzy PID control algorithm. First, the location of the whole population is initialized:…”

Section: Whale Optimization Algorithmmentioning

confidence: 99%

Research on energy-saving lighting control of high-rise building by the PID control algorithm

Yang,

Yue

2024

Sust. Build.

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The lighting of high-rise buildings consumes a significant amount of electricity, making it essential to implement energy-saving measures. In this paper, the lighting of high-rise buildings was briefly analyzed, followed by a description of the proportion, integration, and differentiation (PID) control algorithm. To improve the efficiency of lighting control for energy conservation, the fuzzy PID control algorithm was analyzed. The self-tuning of parameters was achieved by utilizing the whale optimization algorithm (WOA) to develop a WOA-fuzzy PID control algorithm. Finally, experimental analysis was carried out. The simulation findings showed that the WOA-fuzzy PID algorithm had the shortest stabilization time (6.77 s), the smallest maximum overshoot (3.12%), and better anti-interference capability compared to the PID and fuzzy PID algorithms. Finally, it was found from practical application that the use of the WOA-optimized algorithm resulted in a 43.7% reduction in monthly electricity consumption. The findings suggest the effectiveness of the WOA-fuzzy PID algorithm in energy-efficient lighting control and its applicability to real-world high-rise buildings.

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“…The ChoA is inspired by chimps' social status relationship and hunting behaviour. The four individual groups searched the problem space locally and globally, utilizing its unique pattern [20]. The drive and chase are provided as the subsequent formulas.…”

Section: Parameter Tuning Using Choamentioning

confidence: 99%

Aquila Optimization with Machine Learning-Based Anomaly Detection Technique in Cyber-Physical Systems

Ramachandran¹,

Gayathri²,

Alkhayyat³

et al. 2023

Computer Systems Science and Engineering

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Cyber-physical system (CPS) is a concept that integrates every computer-driven system interacting closely with its physical environment. Internet-of-things (IoT) is a union of devices and technologies that provide universal interconnection mechanisms between the physical and digital worlds. Since the complexity level of the CPS increases, an adversary attack becomes possible in several ways. Assuring security is a vital aspect of the CPS environment. Due to the massive surge in the data size, the design of anomaly detection techniques becomes a challenging issue, and domain-specific knowledge can be applied to resolve it. This article develops an Aquila Optimizer with Parameter Tuned Machine Learning Based Anomaly Detection (AOPTML-AD) technique in the CPS environment. The presented AOPTML-AD model intends to recognize and detect abnormal behaviour in the CPS environment. The presented AOPTML-AD framework initially pre-processes the network data by converting them into a compatible format. Besides, the improved Aquila optimization algorithm-based feature selection (IAOA-FS) algorithm is designed to choose an optimal feature subset. Along with that, the chimp optimization algorithm (ChOA) with an adaptive neuro-fuzzy inference system (ANFIS) model can be employed to recognise anomalies in the CPS environment. The ChOA is applied for optimal adjusting of the membership function (MF) indulged in the ANFIS method. The performance validation of the AOPTML-AD algorithm is carried out using the benchmark dataset. The extensive comparative study reported the better performance of the AOPTML-AD technique compared to recent models, with an accuracy of 99.37%.

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A Novel Hybrid Artificial Intelligence Approach to the Future of Global Coal Consumption Using Whale Optimization Algorithm and Adaptive Neuro-Fuzzy Inference System

Cited by 12 publications

References 34 publications

Scientific Research Management Helping the Development of Regional Cultural Industry from the Perspective of Artificial Intelligence

Scientific Research Management Helping the Development of Regional Cultural Industry from the Perspective of Artificial Intelligence

Research on energy-saving lighting control of high-rise building by the PID control algorithm

Aquila Optimization with Machine Learning-Based Anomaly Detection Technique in Cyber-Physical Systems

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