冯霜 - 北京师范大学 - 自然科学高等研究院

个人简介

学习经历 2005 北京师范大学数学科学学院理学学士 2008 北京师范大学数学科学学院理学硕士 2019 澳门大学科技学院博士主持、参与的科研项目 2015-2018 国家自然科学基金，模糊环境下具有复杂约束的工期设定调度优化理论和算法研究，项目参与 2016-2019 Macau Science and Technology Development Fund (FDCT),New Deep Learning Techniques for Pattern Learning and Recognition, 项目参与 2017-2020 国家自然科学基金，Evolutionary Computation Based Deep Learning Techniques for Disease Prevention and Control,项目参与 2017-2020 Macau Science and Technology Development Fund (FDCT),Research on automatic multi-currency banknotes conversion technology and equipment development,项目参与 2018-2020 Macau Science and Technology Development Fund (FDCT),Design of Discriminative Fuzzy Restricted Boltzmann Machines and their Applications,项目参与 2019-2021 Macau Science and Technology Development Fund (FDCT),The Theoretic Development and Applications of Broad Learning System,项目参与 2019-2021 广东省普通高校青年创新人才项目，基于宽度学习系统（BLS）的新型神经网络架构及其应用，项目主持

研究领域

模糊系统、模糊神经网络与计算智能

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

S. Feng and C. L. P. Chen. “A fuzzy restricted Boltzmann machine: Novel learning algorithms based on the crisp possibilistic mean value of fuzzy numbers,” IEEE Transactions on Fuzzy Systems, vol. 26, pp. 117-130, Feb. 2018. C. L. P. Chen and S. Feng, “Generative and discriminative fuzzy restricted Boltzmann machine learning for text and image classification,” IEEE Transactions on Cybernetics, vol. 50, pp. 2168-2275, May 2020. S. Feng and C. L. P. Chen, “Nonlinear system identification using a simplified fuzzy broad learning system: Stability analysis and a comparative study,” Neurocomputing, vol. 337, pp. 274–286, 2019. S. Feng and C. L. P. Chen. “Fuzzy broad learning system: A novel neuro- fuzzy model for regression and classification,” IEEE Transactions on Cybernetics, vol. 50, pp. 414-424, Feb. 2020. S. Feng and C. L. P. Chen, “Performance analysis of fuzzy bls using different cluster methods for classification,” SCIENCE CHINA Information Sciences, vol. 64, no. 4, pp. 149205:1–149205:3, 2021. S. Feng, C. L. P. Chen and C. Y. Zhang. “A Fuzzy Deep Model Based on Fuzzy Restricted Boltzmann Machines for High-dimensional Data Classification,” IEEE Transactions on Fuzzy Systems, Feb. 2019, pp: 1-11.