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  • Neuroevolution gives rise to more focused information transfer compared to backpropagation in recurrent neural networks
    神经进化产生的递归神经网络信息传输相比反向传播更为集中

    Arend Hintze,Christoph Adami

    Neural computing & applications. 2025;37(2):757-767. DOI:10.1007/s00521-022-08125-0

  • Multi-objective reward generalization: improving performance of Deep Reinforcement Learning for applications in single-asset trading

    Federico Cornalba,Constantin Disselkamp,Davide Scassola et al.

    Neural computing & applications. 2024;36(2):619-637. DOI:10.1007/s00521-023-09033-7

  • An Abstract Parabolic System-Based Physics-Informed Long Short-Term Memory Network for Estimating Breath Alcohol Concentration from Transdermal Alcohol Biosensor Data
    基于抽象抛物线系统的物理信息长短期记忆网络:从经皮酒精生物传感器数据估计呼吸酒精浓度

    Clemens Oszkinat,Susan E Luczak,I Gary Rosen

    Neural computing & applications. 2022 Nov;34(21):18933-18951. DOI:10.1007/s00521-022-07505-w

  • Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation
    基于区域的证据深度学习量化不确定性并提高脑肿瘤分割的鲁棒性

    Hao Li,Yang Nan,Javier Del Ser et al.

    Neural computing & applications. 2023;35(30):22071-22085. DOI:10.1007/s00521-022-08016-4

  • Communicative capital: a key resource for human-machine shared agency and collaborative capacity
    沟通资本:人机共因性和协作能力的关键资源

    Kory W Mathewson,Adam S R Parker,Craig Sherstan et al.

    Neural computing & applications. 2023;35(23):16805-16819. DOI:10.1007/s00521-022-07948-1

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