Intelligent financial time series forecasting: A complex neuro-fuzzy approach with multi-swarm intelligence

Financial investors often face an urgent need to predict the future. Accurate forecasting may allow investors to be aware of changes in financial markets in the future, so that they can reduce the risk of investment. In this paper, we present an intelligent computing paradigm, called the Complex Neuro-Fuzzy System (CNFS), applied to the problem of financial time series forecasting. The CNFS is an adaptive system, which is designed using Complex Fuzzy Sets (CFSs) whose membership functions are complex-valued and characterized within the unit disc of the complex plane. The application of CFSs to the CNFS can augment the adaptive capability of nonlinear functional mapping, which is valuable for nonlinear forecasting. Moreover, to optimize the CNFS for accurate forecasting, we devised a new hybrid learning method, called the HMSPSO-RLSE, which integrates in a hybrid way the so-called Hierarchical Multi-Swarm PSO (HMSPSO) and the wellknown Recursive Least Squares Estimator (RLSE). Three examples of financial time series are used to test the proposed approach, whose experimental results outperform those of other methods.

• Publication year

  2012

• Venue

  International Journal of Applied Mathematics and Computer Sciences

• Publication date

  2012-12-01

• Fields of study

  Business, Engineering, Computer Science

• Identifiers
  DOI 10.2478/v10006-012-0058-x
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Particle Swarm Optimization

  2019cited by this paper
• Complex Fuzzy Computing to Time Series Prediction A Multi-Swarm PSO Learning Approach

  2011cited by this paper
• Intelligent Forecasting of S&P 500 Time Series - A Self-organizing Fuzzy Approach

  2011cited by this paper
• Function Approximation with Complex Neuro-Fuzzy System Using Complex Fuzzy Sets – A New Approach

  2011cited by this paper
• Selection of Heterogeneous Fuzzy Model Ensembles Using Self-adaptive Genetic Algorithms

  2011cited by this paper
• A novel hybridization of artificial neural networks and ARIMA models for time series forecasting

  2011cited by this paper
• ANCFIS: A Neurofuzzy Architecture Employing Complex Fuzzy Sets

  2011cited by this paper
• Robust Visual Tracking Using Randomized Forest and Online Appearance Model

  2011cited by this paper
• Operation Properties and δ-Equalities of Complex Fuzzy Sets

  2011cited by this paper
• Complex fuzzy model with PSO-RLSE hybrid learning approach to function approximation

  2011cited by this paper
• Financial volatility trading using a self-organising neural-fuzzy semantic network and option straddle-based approach

  2010influential reference
• An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange

  2010cited by this paper
• Rule weights in a neuro-fuzzy system with a hierarchical domain partition

  2010cited by this paper
• Complex neuro-fuzzy intelligent approach to function approximation

  2010cited by this paper
• Incremental learning of dynamic fuzzy neural networks for accurate system modeling

  2009cited by this paper
• Financial time series forecasting using independent component analysis and support vector regression

  2009influential reference
• Fuzzy prediction architecture using recurrent neural networks

  2009cited by this paper
• Adaptive Prediction of Stock Exchange Indices by State Space Wavelet Networks

  2009cited by this paper
• Operation properties and delta-equalities of complex fuzzy sets

  2009cited by this paper
• Soft-computing techniques and ARMA model for time series prediction

  2008cited by this paper
• MCPSO: A multi-swarm cooperative particle swarm optimizer

  2007influential reference
• Inferring operating rules for reservoir operations using fuzzy regression and ANFIS

  2007cited by this paper
• A Modified Particle Swarm Optimizer for the Coordination of Directional Overcurrent Relays

  2007cited by this paper
• Towards Inductive Learning of Complex Fuzzy Inference Systems

  2007cited by this paper
• Toward complex fuzzy logic

  2005cited by this paper
• NARMAX time series model prediction: feedforward and recurrent fuzzy neural network approaches

  2005cited by this paper
• Pseudoerror-based self-organizing neuro-fuzzy system

  2004cited by this paper
• Complex fuzzy logic

  2003cited by this paper
• Self-organizing neuro-fuzzy system for control of unknown plants

  2003cited by this paper
• Subsethood-product fuzzy neural inference system (SuPFuNIS)

  2002cited by this paper
• On complex fuzzy sets

  2001cited by this paper
• Fuzzy adaptive particle swarm optimization

  2001cited by this paper
• Fuzzy control of unknown multiple-input-multiple-output plants

  1999cited by this paper
• HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems

  1999influential reference
• Linguistic coordinate transformations for complex fuzzy sets

  1999cited by this paper
• SELF-LEARNING GENERAL PURPOSE PID CONTROLLER

  1997cited by this paper
• Fuzzy logic controllers are universal approximators

  1995cited by this paper
• A new optimizer using particle swarm theory

  1995cited by this paper
• ANFIS: adaptive-network-based fuzzy inference system

  1993influential reference
• Fast Learning in Networks of Locally-Tuned Processing Units

  1989cited by this paper
• Multilayer feedforward networks are universal approximators

  1989cited by this paper
• Fuzzy complex numbers

  1989cited by this paper
• Data Storage in the Cerebellar Model Articulation Controller (CMAC)

  1975influential reference

• Forecasting the development of the industrial complex: Southern Federal District

  2024cites this paper
• One-class learning for fake news detection through multimodal variational autoencoders

  2023cites this paper
• Analysis of Enrollment Criteria in Secondary Schools Using Machine Learning and Data Mining Approach

  2023cites this paper
• High-density electric source imaging patterns and outcomes following temporal lobectomy in patients with hippocampal sclerosis.

  2023cites this paper
• An investigation of complex fuzzy sets for large-scale learning

  2023cites this paper
• Snapshot-Based Visible-Near Infrared Multispectral Imaging for Early Screening of Heat Injury during Growth of Chinese Cabbage

  2022cites this paper
• Boosting the prediction of molten steel temperature in ladle furnace with a dynamic outlier ensemble

  2022cites this paper
• Fault analysis of photovoltaic based DC microgrid using deep learning randomized neural network

  2022cites this paper
• Identifying the Determinants of Regional Raw Milk Prices in Russia Using Machine Learning

  2022cites this paper
• Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning

  2022cites this paper
• Enabling Open Innovation in Digital Startups through the Incubation Program—A Case of Qatar

  2022cites this paper
• Dynamic selective Gaussian process regression for forecasting temperature of molten steel in ladle furnace

  2022cites this paper
• An Improved YOLO Algorithm for Fast and Accurate Underwater Object Detection

  2022cites this paper
• Stream water quality prediction using boosted regression tree and random forest models

  2022cites this paper
• MACHINE LEARNING MODEL FOR GLARE PREDICTION IN OFFICES WITH SIMPLE ARCHITECTURAL FEATURES

  2022cites this paper
• Prediction Ability Analysis of Common Machine Learning Algorithms on Flow Field

  2022cites this paper
• Web 2.0 araçları ile gerçekleştirilen çevrimiçi fen eğitimi ile ortaokul öğrencilerinin 21.yy becerilerini geliştirme*

  2022cites this paper
• Learning to sense from events via semantic variational autoencoder

  2021cites this paper
• Applications of Feature Engineering and Logistic Regression to Analyze Microchip Performance

  2021cites this paper
• Auto-tune learning framework for prediction of flowability, mechanical properties, and porosity of ultra-high-performance concrete (UHPC)

  2021cites this paper
• A graph-based approach for positive and unlabeled learning

  2021cites this paper
• Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty Vehicles

  2021cites this paper
• Machine learning in the development of regulators: the specifics of data preparation and the choice of the ML model algorithm

  2021cites this paper
• MULTIVARIATE TIME SERIES FORECASTING WITH PARALLEL EXTRACTION OF LONG-TERM TRENDS AND SHORT-TERM FLUCTUATIONS FRAMEWORK

  2021cites this paper
• Mean parotid dose prediction model using machine learning regression method for intensity-modulated radiotherapy in head and neck cancer.

  2021cites this paper
• Enhanced damage measurement in a metal specimen through the image fusion of tone-burst vibro-acoustography and pulse-echo ultrasound data

  2021cites this paper
• A Generalization of Rotational Invariance for Complex Fuzzy Operations

  2021cites this paper
• Anomaly detection and classification in traffic flow data from fluctuations in the flow–density relationship

  2020cites this paper
• Practice and technique of using face mask amongst adults in the community: a cross-sectional descriptive study

  2020cites this paper
• A Novel Protection Scheme for Solar Photovoltaic Generator Connected Networks Using Hybrid Harmony Search Algorithm-Bollinger Bands Approach

  2020cites this paper
• Optimum design of reinforced concrete counterfort retaining walls using TLBO, Jaya algorithm

  2020cites this paper
• Quantifying the non-normality of shear strength of geomaterials

  2020cites this paper
• The impact of entrepreneurship orientation on project performance: A machine learning approach

  2020cites this paper
• Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review

  2020cites this paper
• Incremental Cluster Validity Indices for Online Learning of Hard Partitions: Extensions and Comparative Study

  2020cites this paper
• Probabilistic Forecasting With Fuzzy Time Series

  2020cites this paper
• Improved Photoacoustic Imaging of Numerical Bone Model Based on Attention Block U-Net Deep Learning Network

  2020cites this paper
• Deep Learning in Gait Parameter Prediction for OA and TKA Patients Wearing IMU Sensors

  2020cites this paper
• Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting

  2020cites this paper
• Distributed Mutual Exclusion Algorithms for Intersection Traffic Problems

  2020cites this paper
• Statistical Study of Machine Learning Algorithms Using Parametric and Non-Parametric Tests: A Comparative Analysis and Recommendations

  2020cites this paper
• Integration of Decision Trees Using Distance to Centroid and to Decision Boundary

  2020cites this paper
• FANCFIS: Fast adaptive neuro-complex fuzzy inference system

  2019cites this paper
• Deep neural network based pier scour modeling

  2019cites this paper
• Brain Morphological Dynamics of Procrastination: The Crucial Role of the Self-Control, Emotional, and Episodic Prospection Network.

  2019cites this paper
• Apartment Valuation Models for a Big City Using Selected Spatial Attributes

  2019cites this paper
• Advanced heavy water reactor control with the aid of adaptive second-order sliding mode controller

  2019cites this paper
• A Comparative Study of Ontology Matching Systems via Inferential Statistics

  2019cites this paper
• Hybrid local boosting utilizing unlabeled data in classification tasks

  2019cites this paper
• Bi-sparse optimization-based least squares regression

  2019cites this paper
• Developing climate model ensembles: A comparative case study

  2019cites this paper
• Bioinspired Computational Approach to Missing Value Estimation

  2018cites this paper
• A bi-objective hybrid algorithm for the classification of imbalanced noisy and borderline data sets

  2018cites this paper
• Violation of Independence of Irrelevant Alternatives in Friedman's test

  2018influential citation
• Bioinspired Computational Approach to Missing Value Estimation Israel

  2018cites this paper
• Improved Nefclass For Datasets With Skewed Feature Values

  2018cites this paper
• Comparaison of Ensemble Cost Sensitive Algorithms: Application to Credit Scoring Prediction

  2018cites this paper
• Predicting Attendance at Major League Soccer Matches: A Comparison of Four Techniques

  2018cites this paper
• Herding by Foreign Institutional Investors: An Evidential Exploration for Persistence and Predictability

  2018cites this paper
• Post-Pruning of Random Forests

  2018influential citation
• The Orthogonality between Complex Fuzzy Sets and Its Application to Signal Detection

  2017cites this paper
• An Enhanced Random Linear Oracle Ensemble Method using Feature Selection Approach based on Naïve Bayes Classifier

  2017cites this paper
• Statistical comparison of image fusion algorithms: Recommendations

  2017cites this paper
• Dynamic confidence values selection — Experimental studies

  2017cites this paper
• Thorough statistical comparison of machine learning regression models and their ensembles for sub-pixel imperviousness and imperviousness change mapping

  2017influential citation
• Adaptive load consumption modelling on the user side. Contributions to load forecasting modelling based on supervised mixture of experts and genetic programming

  2017cites this paper
• Big Data Supervised Pairwise Ortholog Detection in Yeasts

  2017cites this paper
• A systematic review of complex fuzzy sets and logic

  2017cites this paper
• Relationship Between Intrinsic Job Satisfaction, Extrinsic Job Satisfaction, and Turnover Intentions Among Internal Auditors

  2017cites this paper
• Integration Base Classifiers Based on Their Decision Boundary

  2017cites this paper
• Forecasting of Multivariate Time Series via Complex Fuzzy Logic

  2017cites this paper
• Inductive learning of classifiers via complex fuzzy sets and logic

  2017cites this paper
• Relationship Between Oil Theft, Pipeline Vandalism, and Security Costs With Revenue Losses

  2017cites this paper
• Optimizing the class information divergence for transductive classification of texts using propagation in bipartite graphs

  2017cites this paper
• Applications of Complex Fuzzy Sets in Time-Series Prediction

  2017cites this paper
• Rolling bearing fault diagnosis based on health baseline method

  2017cites this paper
• ANCFIS-ELM: A machine learning algorithm based on complex fuzzy sets

  2016cites this paper
• Homogeneous Ensemble Selection - Experimental Studies

  2016cites this paper
• Effects of Information Technology Risk Management and Institution Size on Financial Performance

  2016cites this paper
• Efficient stock price prediction using a Self Evolving Recurrent Neuro-Fuzzy Inference System optimized through a Modified technique

  2016cites this paper
• Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts

  2016cites this paper
• Dynamic Ensemble Selection Using Discriminant Functions and Normalization Between Class Labels - Approach to Binary Classification

  2016cites this paper
• Thermal response estimation in substation connectors using data-driven models

  2016cites this paper
• A new approach to nonlinear modelling of dynamic systems based on fuzzy rules

  2016cites this paper
• On Pythagorean and Complex Fuzzy Set Operations

  2016cites this paper
• A methodological framework using statistical tests for comparing machine learning based models applied to fault diagnosis in rotating machinery

  2016cites this paper
• Join and meet operations for interval-valued complex fuzzy logic

  2016cites this paper
• An Evaluation of Selection Strategies for Active Learning with Regression

  2015cites this paper
• A Reduced Uncertainty-Based Hybrid Evolutionary Algorithm for Solving Dynamic Shortest-Path Routing Problem

  2015cites this paper
• A differential harmony search based hybrid interval type2 fuzzy EGARCH model for stock market volatility prediction

  2015cites this paper
• A novel preference articulation operator for the Evolutionary Multi-Objective Optimisation of classifiers in concealed weapons detection

  2015cites this paper
• Time-Series Forecasting via Complex Fuzzy Logic

  2015cites this paper
• Stressing the Need for Team Building Composition amongst Health Workers in Nigeria

  2015cites this paper
• A Method for Merging Similar Zones to Improve Intelligent Models for Real Estate Appraisal

  2015cites this paper
• Type-2 Fuzzy Sets and Systems: a Retrospective

  2015cites this paper
• Enhancing Intelligent Property Valuation Models by Merging Similar Cadastral Regions of a Municipality

  2015cites this paper
• Short-term load forecasting using Cartesian Genetic Programming: An efficient evolutive strategy: Case: Australian electricity market

  2015cites this paper
• Application of Evolving Fuzzy Systems to Construct Real Estate Prediction Models

  2015cites this paper
• Multi-variate timeseries forecasting using complex fuzzy logic

  2015cites this paper
• An Attempt to Use Self-Adapting Genetic Algorithms to Optimize Fuzzy Systems for Predicting from a Data Stream

  2014cites this paper