A Multi‐Objective Decision‐Making Neural Network: Effective Structure and Learning Method

Concurrency and Computation Practice and Experience, Journal Year: 2025, Volume and Issue: 37(4-5)

Published: Feb. 19, 2025

ABSTRACT Decision Neural Networks significantly improve the performance of complex models and create more transparent accountable decision‐making systems that can be trusted in critical applications. However, their strongly depends on amount data learning algorithm. This article describes development a simplified structure training algorithm based Levenberg–Marquardt to enhance decision neural network's assess utility function's efficacy multi‐objective issues. The suggested converges faster than traditional algorithms. Also, designed scheme combines gradient descent with Gauss‐Newton method, allowing it escape shallow local minima effectively other similar techniques. Numerical examples demonstrate how well method estimates linear functions, even complicated nonlinear ones. Additionally, findings applying enhanced network issues show this instructional technique produces responses higher quality convergence. By problem seven primary answers, is shown accuracy improved by 20%.

Language: Английский

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Comparative Study of Artificial Intelligence (AI) Utilization in Digital Marketing Strategies Between Developed and Developing Countries: A Systematic Literature Review

Ilomata International Journal of Management, Journal Year: 2024, Volume and Issue: 6(1), P. 156 - 173

Published: Nov. 25, 2024

Artificial Intelligence (AI) has become crucial in digital marketing strategies the rapidly advancing era. Developed and developing countries exhibit significant differences adopting implementing this technology, influenced by infrastructure readiness, human resources, policy support. This study aims to compare use of AI between developed understand each group's challenges opportunities. The research employs a Systematic Literature Review (SLR) method analyzing 50 articles from leading databases such as Scopus, Springer, IEEE Xplore. analyzed were selected based on inclusion criteria, including relevance topic, publication year (2018-2024), full accessibility. Data through thematic synthesis identify patterns, trends, gaps adoption two groups countries. NVivo VOSviewer are used analytical tools facilitate data analysis. findings reveal that leverage for content personalization, predictive analytics, automation, supported advanced infrastructure. Meanwhile, still face various obstacles, limited literacy. implications highlight need more investment technological importance global collaboration accelerate equitable adoption. also provides recommendations policymakers business practitioners optimize utilization across different contexts.

Language: Английский

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Applications Analysis of Artificial Intelligence Technology in Digital Marketing

Learning and analytics in intelligent systems, Journal Year: 2025, Volume and Issue: unknown, P. 562 - 571

Published: Jan. 1, 2025

Language: Английский

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AGRICULTURAL MARKETING IN THE CONDITIONS OF DIGITALIZATION

Business Navigator, Journal Year: 2024, Volume and Issue: 2(75)

Published: Jan. 1, 2024

In the work, management of agricultural resources is considered from standpoint economic agrosystem, which should be built on principles optimization and predictability, can achieved due to digitization industry. This, in turn, leads an increase role marketing process collecting, analyzing processing information. The purpose article theoretical methodological substantiation applied aspects conditions digital transformation. problems implementation technologies rural areas are identified: reduction share population, reduces opportunities field education employment, limitation basic IT infrastructure need for investment costs specific solutions taking into account existing opportunities. Agromarketing proposed as integrative system enterprise production sale products, ensures formation sustainable relationships between enterprises consumers meet needs population products services. This goal by providing not only monitoring market, but also forecasting long-term with a high degree reliability; minimization impact environment quality products; appropriate material technical base storage intermediary structures. main task identify research potential agro-industrial complex; selection production, establishment its properties; coordination terms volumes production; preservation expansion market accordance set goals; increasing sales obtaining desired results. specificity determines variety schemes, including study state dynamics consumer demand use obtained data developing making decisions; maximum adaptation requirements order improve efficiency enterprise's functioning; influencing through means such advertising, promotion shaping direction that meaningful enterprise. work defines activities agribusiness: digitalization management, precision agriculture climate control, cloud platforms big analytics. At same time, agribusiness carried out parallel transformation entire

Language: Английский

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Logistics SMEs’ marketing budget re-engineering for sustainable digital marketing development

Journal of Infrastructure Policy and Development, Journal Year: 2024, Volume and Issue: 8(8), P. 6080 - 6080

Published: Aug. 27, 2024

Nowadays, the survival and sustainability of SMEs promotion their services have become key goals for economic growth many countries. Logistics seek to improve digital marketing development, by managing re-engineering process budget. To achieve this goal, logistics should capitalize on big data from websites that are capable depicting development level. The authors selected 5 sector collected 365 days. Then, statistical analysis tools (correlation linear regression models), as well Fuzzy Cognitive Mapping (FCM) models were utilized. It is highlighted various budget levels affect differently. More specifically, a 500$ 2500$ could bring more users (new returning) SMEs’ websites, but only if investments transcend 5000$ help these firms rank higher in search engines (authority score). Thus, simulate course specific metrics setting desired

Language: Английский

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The Application and Optimization of Extensive Data Analysis in the Evaluation of the Effect of Marketing Strategies on Agricultural Machinery Enterprises

Published: Jan. 1, 2024

Language: Английский

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Integrating Artificial Intelligence and Data Analytics for Supply Chain Optimization in the Pharmaceutical Industry

Deleted Journal, Journal Year: 2024, Volume and Issue: 20(3s), P. 682 - 690

Published: April 4, 2024

This inquire about examines the integration of Artificial Intelligence (AI) and information analytics to optimize supply chain forms within pharmaceutical industry. Through tests writing audits, ponder investigates adequacy AI calculations counting Linear Regression, Random Forest K-Means Clustering, Deep Learning Neural Systems over request estimating, stock optimization, generation planning, coordination optimization. Results appear that Relapse beats Direct in determining with RMSE 80.20, MAE 60.75, R² 0.90, MAPE 6.50%. Clustering recognizes five clusters for Profound accomplish 75.10, 55.30, 0.92, 5.80% planning. In coordination’s Genetic Algorithm accomplishes a add up fetched $150,000 conveyance time 5 days compared Mimicked Strengthening $160,000 6 days. The research contributes understanding part improving effectiveness, decreasing costs, guaranteeing maintainability segment.

Language: Английский

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