2022
Yajiao Tang, Zhenyu Song, Yulin Zhu, Maozhang Hou, Cheng Tang, and Junkai Ji. "Adopting a dendritic neural model for predicting stock price index movement." Expert Systems with Applications (2022). Link Junkai Ji, Jiajun Zhao, Qiuzhen Lin, and Kay Chen Tan. "Competitive Decomposition-Based Multiobjective Architecture Search for the Dendritic Neural Model." IEEE Transactions on Cybernetics (2022). Link Junkai Ji, Cheng Tang, Jiajun Zhao, Zheng Tang, and Yuki Todo. "A Survey on Dendritic Neuron Model: Mechanisms, Algorithms and Practical Applications." Neurocomputing (2022). Link Junkai Ji, Minhui Dong, Qiuzhen Lin, and Kay Chen Tan. "Noninvasive Cuffless Blood Pressure Estimation With Dendritic Neural Regressio IEEE Transactions on Cybernetics (2022). Link Cheng Tang, Yuki Todo, Junkai Ji, and Zheng Tang. "A novel motion direction detection mechanism based on dendritic computation of direction-selective ganglion cells." Knowledge-Based Systems (2022). Link
2021
Minhui Dong, Cheng Tang, Junkai Ji, Qiuzhen Lin, and Ka-Chun Wong. "Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression." Applied Soft Computing (2021): 107683. Link
Shangce Gao, Mengchu Zhou, Ziqian Wang, Daiki Sugiyama, Jiujun Cheng, Jiahai Wang, and Yuki Todo. "Fully complex-valued dendritic neuron model." IEEE Transactions on Neural Networks and Learning Systems (2021). Link
Xiliang Zhang, Yuki Todo, Cheng Tang, and Zheng Tang. "The Mechanism of Orientation Detection Based on Dendritic Neuron." 2021 IEEE 4th International Conference on Big Data and Artificial Intelligence (BDAI). (2021). Link
Jiajun Zhao, Qiuzhen Lin, and Junkai Ji. "Network Intrusion Detection by an Approximate Logic Neural Model." 2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) (2021). Link
Cheng Tang, Yuki Todo, Junkai Ji, Qiuzhen Lin, and Zheng Tang. "Artificial immune system training algorithm for a dendritic neuron model." Knowledge-Based Systems 233 (2021): 107509. Link
Cheng Tang, Zhenyu Song, Yajiao Tang, Huimei Tang, Yuxi Wang, and Junkai Ji. "An Evolutionary Neuron Model with Dendritic Computation for Classification and Prediction." International Conference on Intelligent Computing. (2021). Link
Junkai Ji, Minhui Dong, Qiuzhen Lin, and Kay Chen Tan. "Forecasting Wind Speed Time Series Via Dendritic Neural Regression." IEEE Computational Intelligence Magazine 16.3 (2021): 50-66. Link
Zhenyu Song, Cheng Tang, Jin Qian, Bin Zhang, and Yuki Todo. "Air Quality Estimation Using Dendritic Neural Regression with Scale-Free Network-Based Differential Evolution." Atmosphere 12. 12 (2021): 1647. Link
Shuangbao Song, Xingqian Chen, Shuangyu Song, and Yuki Todo. "A neuron model with dendrite morphology for classification." Electronics. 10.9 (2021): 1062. Link
2020
Junkai Ji, Yajiao Tang, Lijia Ma, Jianqiang Li, Qiuzhen Lin, Zheng Tang, and Yuki Todo. "Accuracy Versus Simplification in an Approximate Logic Neural Model." IEEE Transactions on Neural Networks and Learning Systems  (2020). Link Cheng Tang, Junkai Ji, Yajiao Tang, Shangce Gao, Zheng Tang, and Yuki Todo. "A novel machine learning technique for computer-aided diagnosis." Engineering Applications of Artificial Intelligence  92 (2020): 103627. Link Zhenyu Song, Yajiao Tang, Junkai Ji, and Yuki Todo. "Evaluating a dendritic neuron model for wind speed forecasting." Knowledge-Based Systems  201 (2020): 106052. Link Xiaoxiao Qian, Cheng Tang, Yuki Todo, Qiuzhen Lin, and Junkai Ji. "Evolutionary Dendritic Neural Model for Classification Problems."  Complexity 2020 (2020). Link Jiajun Zhao, Minhui Dong, Cheng Tang, Junkai Ji, and Ying He. "Improving Approximate Logic Neuron Model by Means of a Novel Learning Algorithm." In International Conference on Intelligent Computing , pp. 484-496. Springer, Cham, 2020. Link Zhenyu Song, Tianle Zhou, Xuemei Yan, Cheng Tang, and Junkai Ji. "Wind Speed Time Series Prediction Using a Single Dendritic Neuron Model." In 2020 2nd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI) , pp. 140-144. IEEE, 2020. Link
2019
Junkai Ji, Shuangbao Song, Yajiao Tang, Shangce Gao, Zheng Tang, and Yuki Todo. "Approximate logic neuron model trained by states of matter search algorithm." Knowledge-Based Systems  163 (2019): 120-130. Link Yuki Todo, Zheng Tang, Hiroyoshi Todo, Junkai Ji, and Kazuya Yamashita. "Neurons with multiplicative interactions of nonlinear synapses."  International journal of neural systems 29, no. 08 (2019): 1950012. Link Tang, Yajiao, Junkai Ji, Yulin Zhu, Shangce Gao, Zheng Tang, and Yuki Todo. "A differential evolution-oriented pruning neural network model for bankruptcy prediction." Complexity   2019 (2019). Link Shuangyu Song, Xingqian Chen, Cheng Tang, Shuangbao Song, Zheng Tang, and Yuki Todo. "Training an approximate logic dendritic neuron model using social learning particle swarm optimization algorithm."  IEEE Access 7 (2019): 141947-141959. Link Jingyao Wu, Jiaxin He, and Yuki Todo. "The dendritic neuron model is a universal approximator." In  2019 6th International Conference on Systems and Informatics (ICSAI) , pp. 589-594. IEEE, 2019. Link Fei Teng, and Yuki Todo. "Dendritic Neuron Model and Its Capability of Approximation." In 2019 6th International Conference on Systems and Informatics (ICSAI) , pp. 542-546. IEEE, 2019. Link Jiaxin He, Jingyao Wu, Guangchi Yuan, and Yuki Todo. "Dendritic Branches of DNM Help to Improve Approximation accuracy." In 2019 6th International Conference on Systems and Informatics (ICSAI) , pp. 533-541. IEEE, 2019. Link
2018
Junkai Ji. "The improvement and hybridization of artificial neural networks and swarm intelligence." Doctoral dissertation, University of Toyama, 2018. Link
2017
Tao Jiang, Shangce Gao, Dizhou Wang, Junkai Ji, Yuki Todo, and Zheng Tang. "A neuron model with synaptic nonlinearities in a dendritic tree for liver disorders." IEEJ Transactions on Electrical and Electronic Engineering 12, no. 1 (2017): 105-115. Link Wei Chen, Jian Sun, Shangce Gao, Jiu-Jun Cheng, Jiahai Wang, and Yuki Todo. "Using a single dendritic neuron to forecast tourist arrivals to Japan."  IEICE Transactions on Information and Systems  100, no. 1 (2017): 190-202. Link Ying Yu, Yirui Wang, Shangce Gao, and Zheng Tang. "Statistical modeling and prediction for tourism economy using dendritic neural network." Computational intelligence and neuroscience 2017 (2017). Link
2016
Junkai Ji, Shangce Gao, Jiujun Cheng, Zheng Tang, and Yuki Todo. "An approximate logic neuron model with a dendritic structure,"  Neurocomputing 173 (2016): 1775-1783. Link Tianle Zhou, Shangce Gao, Jiahai Wang, Chaoyi Chu, Yuki Todo, and Zheng Tang. "Financial time series prediction using a dendritic neuron model."  Knowledge-Based Systems 105 (2016): 214-224. Link Junkai Ji, Zhenyu Song, Yajiao Tang, Tao Jiang, and Shangce Gao. "Training a dendritic neural model with genetic algorithm for classification problems." In 2016 International Conference on Progress in Informatics and Computing (PIC) , pp. 47-50. IEEE, 2016. Link
2015
Zijun Sha, Lin Hu, Yuki Todo, Junkai Ji, Shangce Gao, and Zheng Tang. "A breast cancer classifier using a neuron model with dendritic nonlinearity." IEICE Transactions on Information and Systems  98, no. 7 (2015): 1365-1376. Link Tao Jiang, Dizhou Wang, Junkai Ji, Yuki Todo, and Shangce Gao. "Single dendritic neuron with nonlinear computation capacity: A case study on xor problem." In  2015 IEEE International Conference on Progress in Informatics and Computing (PIC), pp. 20-24. IEEE, 2015. Link
2014
Yuki Todo, Hiroki Tamura, Kazuya Yamashita, and Zheng Tang. "Unsupervised learnable neuron model with nonlinear interaction on dendrites." Neural Networks 60 (2014): 96-103. Link
2001
Zheng Tang, Hiroki Tamura, Makoto Kuratu, Okihiko Ishizuka, and Koichi Tanno. "A model of the neuron based on dendrite mechanisms." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 84, no. 8 (2001): 11-24. Link