Proceedings of International Joint Conference on Neural Networks 2020 (IJCNN 2020)
2020 International Joint Conference on Neural Networks (IJCNN) held virtually, as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI) 2020. IJCNN 2020 is jointly organized by the IEEE Computational Intelligence Society (CIS) and the International Neural Network Society (INNS). For IJCNN 2020 (and when WCCI is organized in even-numbered years) IEEE CIS is the lead society and financial sponsor. IJCNN 2020 is the major event in the field of neural networks and learning systems, covering all topics in the field from theory to applications. IJCNN provides a forum for researchers, students and professionals in the field of Neural Network and Learning Systems. The meeting is a unique opportunity to present our research to other colleagues and exchange the latest advances in theories, technologies and practices. It is tremendous opportunity also to know what the trending topics are, the current state-of-the-art and the main applications of Neural Networks and Learning Systems. IJCNN 2020 accepted 1134 papers for inclusion in the conference program at an acceptance rate of 57%. Out of this, 608 papers are being presented in oral sessions and 526 in poster sessions. The largest contributors by country are China (29.7%), USA (15.7%), UK (15.2%), Brazil (10.1%), Australia (8.8%), Japan (7.8%) and India (7.1%). The country assigned to a paper was the country from which its first author came. The program of IJCNN 2020 reflects a rich variety of topics: Deep Learning, Extreme Learning Machines, Feed forward NNs and Supervised Learning, Online and Incremental Learning, Spiking Neural Networks, Unsupervised Learning and Clustering, ADP and Reinforcement Learning, Recurrent NNs and Reservoir Networks, Concept Drift, ML Methods Robust to Large Outliers, Complex Valued NNs, Neural Models and Computation, Memory and Sensory Systems, Semi-supervised Learning and Neuromorphic Hardware. Likewise, a large number of papers deal with a great variety of applications.