Jyh-Yeong Chang
IEEE Transactions on Biomedical Engineering · 2011–2013
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Jyh-Yeong Chang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jyh-Yeong Chang's perspective
Ordered by how strongly the researchers Jyh-Yeong Chang trusts endorse each paper. Same corpus, a different order for every researcher.
- Identification and control of dynamic systems using recurrent fuzzy neural networks (IEEE transactions on fuzzy systems)
- NARMAX time series model prediction: feedforward and recurrent fuzzy neural network approaches
- Time-series prediction using a local linear wavelet neural network (Neurocomputing)
- A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms
- Adaptive pattern recognition and neural networks
- Scalp electrode impedance, infection risk, and EEG data quality. (Clinical Neurophysiology)
- A direct comparison of wet, dry and insulating bioelectric recording electrodes. (Physiological Measurement)
- Particle swarm optimization
- An evolutionary algorithm that constructs recurrent neural networks
- DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction (IEEE transactions on fuzzy systems)
Their papers
- Novel Dry Polymer Foam Electrodes for Long-Term EEG Measurement (2011) — 332 citations
- Identification and Prediction of Dynamic Systems Using an Interactively Recurrent Self-Evolving Fuzzy Neural Network (2013) — 161 citations