Achievement System - KITAJIMA Ryozo | Tokyo Polytechnic University

KITAJIMA Ryozo

Department / Course Tokyo Polytechnic University Faculty of Engineering Department of Engineering

Job Assistant Professor

Academic conference presentation
2023/08/02	Revealing the relationship between transpolar arc occurrence and solar wind conditions using the novel neural network (Potential Learning): Initial Results (20th Asia Oceania Geosciences Society Annual Meeting)
2023/02/24	A Sentiment Analysis of Data on Outings from Mothers with Infants and Toddlers during the COVID-19 Pandemic (The 6th International Conference on Data Storage and Data Engineering (DSDE 2023))
2022/10/20	Min-Max Cost and Information Control in Multi-Layered Neural Networks (Future Technologies Conference 2022 (FTC 2022))
2016/06/15	Neural potential learning for tweets classification and interpretation
2016/04/01	Simplifying potential learning by supposing maximum and minimum information for improved generalization and interpretation
2015/11/01	Neural Potential Learning for Tweets Classification and Interpretation (Proc. 7th International Conference on Soft Computing and Pattern Recognition)
2015/09/28	Selective potentiality maximization for input neuron selection in self-organizing maps
2015/04/01	Selective Potentiality Maximization for Input Neuron Selection in Self-Organizing Maps
2015/04/01	Som knowledge induced learning with maximum information principle to improve multi-layered neural networks
2014/04/01	Gradual information maximization in information enhancement to extract important input neurons
2007/04/01	Forced information maximization to accelerate information-theoretic competitive learning
2007/04/01	Information-theoretic variable selection in neural networks
2006/04/01	Collective information-theoretic competitive learning: Emergency of improved performance by collectively treated neurons