J Li, Q Dai, R Ye - Neural Computing and Applications, 2019 - Springer
Based on support vector machine (SVM), incremental SVM was proposed, which has a strong ability to deal with various classification and regression problems. Incremental SVM …
LS Saoud, R Ghorbani - IEEE Transactions on Neural …, 2019 - ieeexplore.ieee.org
In this paper, a metacognitive octonion-valued neural network (Mc-OVNN) learning algorithm and its application to diverse time series prediction are presented. The Mc-OVNN …
SR Das, D Mishra, M Rout - Physica A: Statistical Mechanics and its …, 2019 - Elsevier
For the prediction of exchange rate, this paper proposes a hybrid learning frame work model which is a joint estimation of On-Line Sequential Extreme Learning Machine (OS-ELM) …
The performance of optical mode division multiplexer (MDM) is affected by inter-symbol interference (ISI), which arises from higher-order mode coupling and modal dispersion in …
J Li, Q Dai - Applied Intelligence, 2019 - Springer
In this paper, a novel dual weights optimization Incremental Learning (w 2 IL) algorithm is developed to solve Time Series Forecasting (TSF) problem. The w 2 IL algorithm utilizes …
O Oladipupo, O Olajide, S Olawoye, J Oyelade… - Proceedings of the …, 2019 - iaeng.org
The analysis of medical data is frequently characterized with uncertainties which tend to attract complexity. Therefore in this paper, an Interval Type-2 fuzzy set model: Hao and …
S Abizada, E Abiyeva - 13th International Conference on Theory and …, 2019 - Springer
This paper presents an energy consumption prediction model of residential buildings using fuzzy neural networks (FNN). The design of FNN prediction model has been performed …
The design of an intelligent system for identification of cardiac arrhythmias is considered using ECG data set. The arrhythmia identification system that includes feature selection and …