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Lu, Qiang and Sun, Xia and Long, Yunfei and Gao, Zhizezhang and Feng, Jun and Sun, Tao (2023) Sentiment Analysis: Comprehensive Reviews, Recent Advances, and Open Challenges. IEEE Transactions on Neural Networks and Learning Systems, 35 (11). pp. 15092-15112. DOI https://doi.org/10.1109/TNNLS.2023.3294810

Zhang, Mingxing and Zhou, Zhengchun and Li, Lanping and Liu, Zilong and Yang, Meng and Feng, Yanghe (2021) HpGAN: Sequence Search With Generative Adversarial Networks. IEEE Transactions on Neural Networks and Learning Systems, 34 (8). pp. 4944-4956. DOI https://doi.org/10.1109/tnnls.2021.3126944

Jin, Jing and Xiao, Ruocheng and Daly, Ian and Miao, Yangyang and Wang, Xingyu and Cichocki, Andrzej (2021) Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory. IEEE Transactions on Neural Networks and Learning Systems, 32 (11). pp. 4814-4825. DOI https://doi.org/10.1109/tnnls.2020.3015505

Perdikis, Serafeim and Leeb, Robert and Chavarriaga, Ricardo and Millan, Jose del R (2021) Context–aware Learning for Generative Models. IEEE Transactions on Neural Networks and Learning Systems, 32 (8). pp. 3471-3483. DOI https://doi.org/10.1109/tnnls.2020.3011671

Xiao, Lin and Dai, Jianhua and Lu, Rongbo and Li, Shuai and Li, Jichun and Wang, Shoujin (2020) Design and Comprehensive Analysis of a Noise-Tolerant ZNN Model With Limited-Time Convergence for Time-Dependent Nonlinear Minimization. IEEE Transactions on Neural Networks and Learning Systems, 31 (12). pp. 5339-5348. DOI https://doi.org/10.1109/tnnls.2020.2966294

Zhang, Xuesong and Zhuang, Yan and Hu, Huosheng and Wang, Wei (2017) 3-D Laser-Based Multiclass and Multiview Object Detection in Cluttered Indoor Scenes. IEEE Transactions on Neural Networks and Learning Systems, 28 (1). pp. 177-190. DOI https://doi.org/10.1109/TNNLS.2015.2496195

Cao, Yi and Li, Yuhua and Coleman, Sonya and Belatreche, Ammar and McGinnity, Thomas Martin (2016) Detecting Wash Trade in Financial Market Using Digraphs and Dynamic Programming. IEEE Transactions on Neural Networks and Learning Systems, 27 (11). pp. 2351-2363. DOI https://doi.org/10.1109/tnnls.2015.2480959

Fu, Xingang and Li, Shuhui and Fairbank, Michael and Wunsch, Donald C and Alonso, Eduardo (2015) Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter. IEEE Transactions on Neural Networks and Learning Systems, 26 (9). pp. 1900-1912. DOI https://doi.org/10.1109/TNNLS.2014.2361267

Yi Cao and Yuhua Li and Coleman, Sonya and Belatreche, Ammar and McGinnity, Thomas Martin (2015) Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection. IEEE Transactions on Neural Networks and Learning Systems, 26 (2). pp. 318-330. DOI https://doi.org/10.1109/tnnls.2014.2315042

Fairbank, Michael and Prokhorov, Danil and Alonso, Eduardo (2014) Clipping in Neurocontrol by Adaptive Dynamic Programming. IEEE Transactions on Neural Networks and Learning Systems, 25 (10). pp. 1909-1920. DOI https://doi.org/10.1109/TNNLS.2014.2297991

Li, S and Fairbank, M and Johnson, C and Wunsch, DC and Alonso, E and Proao, JL (2014) Artificial Neural Networks for Control of a Grid-Connected Rectifier/Inverter Under Disturbance, Dynamic and Power Converter Switching Conditions. IEEE Transactions on Neural Networks and Learning Systems, 25 (4). pp. 738-750. DOI https://doi.org/10.1109/tnnls.2013.2280906

Fairbank, M and Alonso, E and Prokhorov, D (2013) An Equivalence Between Adaptive Dynamic Programming With a Critic and Backpropagation Through Time. IEEE Transactions on Neural Networks and Learning Systems, 24 (12). pp. 2088-2100. DOI https://doi.org/10.1109/tnnls.2013.2271778

Fairbank, Michael and Alonso, Eduardo and Prokhorov, Danil (2012) Simple and fast calculation of the second-order gradients for globalized dual heuristic dynamic programming in neural networks. IEEE Transactions on Neural Networks and Learning Systems, 23 (10). pp. 1671-1676. DOI https://doi.org/10.1109/tnnls.2012.2205268

Dongbing Gu and Huosheng Hu (2012) Spatial Gaussian Process Regression With Mobile Sensor Networks. IEEE Transactions on Neural Networks and Learning Systems, 23 (8). pp. 1279-1290. DOI https://doi.org/10.1109/tnnls.2012.2200694