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An improved sales forecasting approach by the integration of genetic fuzzy systems and data clustering: Case study of printed circuit board
13 references·3 citing·51 second hop
An improved sales forecasting approach by the integration of genetic fuzzy systems and data clustering: Case study of printed circuit board (2011)An improved sales forecasting approach by…Forecasting stock market short-term trends using a neuro-fuzzy based methodology (2009)Forecasting stock market shor…Data clustering and fuzzy neural network for sales forecasting: A case study in printed circuit board industry (2009)Data clustering and fuzzy neu…A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach (2009)A methodology of generating c…A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis (2008)A decision support system for…The development of a weighted evolving fuzzy neural network for PCB sales forecasting (2006)The development of a weighted…A TSK type fuzzy rule based system for stock price prediction (2006)A TSK type fuzzy rule based s…A neural clustering and classification system for sales forecasting of new apparel items (2006)A neural clustering and class…Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry (2005)Fuzzy Delphi and back-propaga…Evolving neural network for printed circuit board sales forecasting (2005)Evolving neural network for p…A hybrid model by clustering and evolving fuzzy rules for sales decision supports in printed circuit board industry (2005)A hybrid model by clustering …The development of a hybrid intelligent system for developing marketing strategy (2000)The development of a hybrid i…Fuzzy neural networks with application to sales forecasting (1999)Fuzzy neural networks with ap…Forecasting Market Trends with Neural Networks (1999)Forecasting Market Trends wit…Sales-forecasting of Retail Stores using Machine Learning Techniques (2018)Sales-forecasting of Retail S…Forecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimization (2017)Forecasting outpatient visits…A hybrid intelligent approach for modeling brand choice and constructing a market response simulator (2012)A hybrid intelligent approach…Generalized autoregressive conditional heteroskedasticity (1986)Stock market prediction system with modular neural networks (1990)Fashion retailing forecasting based on extreme learning machine with adaptive metrics of inputs (2012)The Econometrics of Financial Markets (2012)Developing a hybrid intelligent model for forecasting problems: Case study of tourism demand time series (2013)Sales forecasting of computer products based on variable selection scheme and support vector regression (2013)A neural network model to forecast Japanese demand for travel to Hong Kong (1999)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Combining independent component analysis and growing hierarchical self-organizing maps with support vector regression in product demand forecasting (2010)Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry (2022)The Behavior of Stock-Market Prices (1965)Efficient Capital Markets: II (1991)Forecasting with artificial neural networks: (1998)An approach based on ANFIS input selection and modeling for supplier selection problem (2011)Financial forecasting using ANFIS networks with Quantum-behaved Particle Swarm Optimization (2014)Bitcoin price forecasting with neuro-fuzzy techniques (2019)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Principles of forecasting : a handbook for researchers and practitioners (2001)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Sales forecasting for computer wholesalers: A comparison of multivariate adaptive regression splines and artificial neural networks (2012)A survey on retail sales forecasting and prediction in fashion markets (2014)Forecasting demand profiles of new products (2020)Marketing Research: An Applied Orientation (1994)Service Quality, Profitability, and the Economic Worth of Customers: What We Know and What We Need to Learn (2000)The relationships among quality, value, satisfaction and behavioral intention in health care provider choice (2002)Development of an extended Kansei engineering method to incorporate experience requirements in product–service system design (2013)Customer satisfaction evaluation method for customized product development using Entropy weight and Analytic Hierarchy Process (2014)AI-based methodology of integrating affective design, engineering, and marketing for defining design specifications of new products (2015)Competitive Strategy: Techniques for Analyzing Industries and Competitors (1980)A Foundation for the Study of Group Decision Support Systems (1987)Managerial Applications of Neural 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(1966)Evolving and clustering fuzzy decision tree for financial time series data forecasting (2008)The human factor in supply chain forecasting: A systematic review (2018)Forecasting methods and applications (1993)Supply Chain Management: Strategy, Planning and Operations (2000)Supply Chain Management: Strategy, Planning, and Operation (2003)Multi-objective optimization of closed-loop supply chains in uncertain environment (2012)An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain (2019)Machine-Learning Models for Sales Time Series Forecasting (2019)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Using support vector machine with a hybrid feature selection method to the stock trend prediction (2009)A multiple-kernel support vector regression approach for stock market price forecasting (2010)Stock Market Forecasting Using Computational Intelligence: A Survey (2020)A neural network with a case based dynamic window for stock trading prediction (2008)Demand Forecasting in the Fashion Industry: A Review (2013)Fast fashion sales forecasting with limited data and time (2013)
this work references cited by second hop

References

  • 2006A TSK type fuzzy rule based system for stock price prediction319 cited
  • 2009Forecasting stock market short-term trends using a neuro-fuzzy based methodology307 cited
  • 2008A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis263 cited
  • 2006The development of a weighted evolving fuzzy neural network for PCB sales forecasting199 cited
  • 2005Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry170 cited
  • 2000The development of a hybrid intelligent system for developing marketing strategy130 cited
  • 2009Data clustering and fuzzy neural network for sales forecasting: A case study in printed circuit board industry118 cited
  • 2006A neural clustering and classification system for sales forecasting of new apparel items105 cited
  • 2005Evolving neural network for printed circuit board sales forecasting95 cited
  • 2009A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach92 cited
  • 2005A hybrid model by clustering and evolving fuzzy rules for sales decision supports in printed circuit board industry90 cited
  • 1999Fuzzy neural networks with application to sales forecasting89 cited
  • 1999Forecasting Market Trends with Neural Networks70 cited

Cited by

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2018
Sales-forecasting of Retail Stores using Machine Learning Techniques
60 cited
  • 2017Forecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimization46 cited
  • 2012A hybrid intelligent approach for modeling brand choice and constructing a market response simulator13 cited