[图书][B] Advanced topics in fuzzy graph theory
JN Mordeson, S Mathew - 2019 - Springer
Inspired by Lotfi Zadeh's seminal work on fuzzy logic, Azriel Rosenfeld developed
cornerstone papers in fuzzy abstract algebra and fuzzy graph theory. This book is the third …
cornerstone papers in fuzzy abstract algebra and fuzzy graph theory. This book is the third …
A novel double incremental learning algorithm for time series prediction
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 …
strong ability to deal with various classification and regression problems. Incremental SVM …
Metacognitive octonion-valued neural networks as they relate to time series analysis
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 …
algorithm and its application to diverse time series prediction are presented. The Mc-OVNN …
An optimized feature reduction based currency forecasting model exploring the online sequential extreme learning machine and krill herd strategies
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) …
which is a joint estimation of On-Line Sequential Extreme Learning Machine (OS-ELM) …
Dynamic evolving neural fuzzy inference system equalization scheme in mode division multiplexer for optical fiber transmission
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 …
interference (ISI), which arises from higher-order mode coupling and modal dispersion in …
A new dual weights optimization incremental learning algorithm for time series forecasting
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 …
developed to solve Time Series Forecasting (TSF) problem. The w 2 IL algorithm utilizes …
[PDF][PDF] An interval type-2 fuzzy set approach to breast cancer dataset analysis
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 …
attract complexity. Therefore in this paper, an Interval Type-2 fuzzy set model: Hao and …
Energy consumption prediction of residential buildings using fuzzy neural networks
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 …
fuzzy neural networks (FNN). The design of FNN prediction model has been performed …
[PDF][PDF] Intelligent Cardiac Arrhythmia Identification System
RH Abiyev - m.milandmc.com
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 …
using ECG data set. The arrhythmia identification system that includes feature selection and …