Ming Zhang

ORCID: 0009-0000-0684-7358
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About
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Research Areas
  • Energy, Environment, Economic Growth
  • Regional Economic and Spatial Analysis
  • Fiscal Policy and Economic Growth
  • Taxation and Compliance Studies
  • Environmental Impact and Sustainability
  • Diverse Aspects of Tourism Research
  • Fuzzy Logic and Control Systems
  • International Development and Aid
  • Evaluation Methods in Various Fields
  • Sport and Mega-Event Impacts
  • Firm Innovation and Growth
  • Neural Networks and Applications
  • Economic Development and Regional Competitiveness
  • China's Ethnic Minorities and Relations
  • International Relations and Foreign Policy
  • Regional Economics and Spatial Analysis
  • Environmental Sustainability in Business
  • Physical Activity and Education Research
  • Energy, Environment, and Transportation Policies
  • Safety and Risk Management
  • Photovoltaic Systems and Sustainability
  • Diverse Interdisciplinary Research Innovations
  • Psychological and Temporal Perspectives Research
  • Urban Design and Spatial Analysis
  • Machine Learning and ELM

Shandong Women’s University
2024

China University of Mining and Technology
2015-2024

China University of Geosciences
2024

China University of Labor Relations
2024

China Three Gorges University
2005-2023

UnionPay (China)
2021

Dalian University of Technology
2020

Beijing Haidian Hospital
2017

Xinjiang University of Finance and Economics
2015

Guangdong Ocean University
2006-2013

Real-world financial data is often nonlinear, comprises high-frequency multipolynomial components, and discontinuous (piecewise continuous). Not surprisingly, it hard to model such data. Classical neural networks are unable automatically determine the optimum appropriate order for approximation. We address this problem by developing neuron-adaptive higher neural-network (NAHONN) models. After introducing one-dimensional (1-D), two-dimensional (2-D), n-dimensional NAHONN models, we present an...

10.1109/72.977302 article EN IEEE Transactions on Neural Networks 2002-01-01

10.1145/3063955.3063959 article EN 2017-05-08

The global economy has been severely traumatized by the COVID-19 pandemic, and new ventures are under tremendous pressure to survive. This paper explores whether structured reading materials mindfulness intervention can develop entrepreneurs' psychological capital there different effects on development methods. We recruited 112 venture entrepreneurs carried out an online experiment using experimental group, control pre-test post-test design; at last, 83 of whom participated in process be...

10.3389/fpsyg.2022.963439 article EN cc-by Frontiers in Psychology 2023-01-11

The disconnection between the theory of psychological capital and study entrepreneurship leads to absence concept entrepreneurial in entrepreneurship. In order make combination possible, it is very necessary introduce into entrepreneurship, which can not only consolidate methodology foundation but also explain process venture performance powerfully. This paper focuses on: (1) exploring dimensions developing corresponding scale; (2) mechanism analysis on performance; (3) empirical influencing...

10.1109/iciii.2013.6703101 article EN 2013-11-01

Introduction - The Problem and Methodology Testing Sino-U.S. Relations: Taiwan Issue U.S.: Japan Security Alliance: Trial of New Mission Balance Power between China Japan: Growth and/or Mutual Threat? Triad as Reciprocal How Does It Work? Conclusion: Back to the Theory Future Appendices Works Cited Index

10.2307/20049338 article EN Foreign Affairs 1999-01-01

Based on the analysis of spatiotemporal evolution characteristics producer services agglomeration and urban green development efficiency in China, this study measures influence spatial spillover effects development. Research results reveal that specialization level has undergone a dynamic decline process, demonstrating where east exhibits higher levels than west, north surpasses south. In contrast, diversification demonstrated consistent upward trajectory, characterized by distribution is...

10.1371/journal.pone.0315870 article EN cc-by PLoS ONE 2024-12-30

In this paper we study the approximation capabilities of an adaptive higher-order feedforward neural network (AHFNN) with a neuron-adaptive activation function. A learning algorithm is derived to tune free parameters in function as well connection weights between neurons. Simulation results show that proposed AHFNN presents several advantages over traditional neuron-fixed networks such increased flexibility, much reduced size, faster learning, and lessened errors. Experiments also reveal...

10.1109/ijcnn.1999.831512 article EN 2003-01-22

With the rise of online/mobile transactions, cost cash-out has decreased and detection increased. In world payment in IoT, merchants credit cards can be applied approved online used form a QR code but not physical card or Point Sale equipment, making it easy for these systems to controlled by group fraudsters. mainland China, where transaction fee is, on average, lower than retail loan rate, option is attractive people an investment business operation, which, after investigation, considered...

10.3390/s21227507 article EN cc-by Sensors 2021-11-12
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