Ritanjali Majhi

Employment

• National Institute of Technology Karnataka

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (30)

• Predicting numbers of successful new products to launch using soft computing techniques: A case of firms from manufacturing sector industries
  Journal of King Saud University - Computer and Information Sciences 2020 DOI: 10.1016/j.jksuci.2017.08.006
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• Development and comparative performance evaluation of neural network classification techniques for manufacturing sector firms on the basis of new product growth rate
  International Journal of Business Information Systems 2020 DOI: 10.1504/IJBIS.2020.105157
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• A novel hybrid model using RBF and PSO for net asset value prediction
  Intelligent Systems: Concepts, Methodologies, Tools, and Applications 2018 DOI: 10.4018/978-1-5225-5643-5.ch043
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• An application of artificial neural network classifier to analyze the behavioral traits of smallholder farmers in Kenya
  Evolutionary Intelligence 2018 DOI: 10.1007/s12065-018-0180-2
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• Comparative Performance Evaluation of Clustering Algorithms for Grouping Manufacturing Firms
  Arabian Journal for Science and Engineering 2018 DOI: 10.1007/s13369-017-2788-4
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• On development of novel hybrid and robust adaptive models for net asset value prediction
  Journal of King Saud University - Computer and Information Sciences 2018 DOI: 10.1016/j.jksuci.2018.04.011
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• Classifying behavioural traits of small-scale farmers: Use of a novel artificial neural network (ANN) classifier
  International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016 2016 DOI: 10.1109/ICEEOT.2016.7755501
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• Efficient prediction of new product growth rate: A comparison between Artificial Neural Network and conventional method
  International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016 2016 DOI: 10.1109/ICEEOT.2016.7755503
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• Development and performance evaluation of a novel knowledge guided artificial neural network (KGANN) model for exchange rate prediction
  Journal of King Saud University - Computer and Information Sciences 2015 DOI: 10.1016/j.jksuci.2015.01.002
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• Development and performance evaluation of nonlinear and robust adaptive models for prediction of number of customers of mobile phone service providers
  International Journal of Business Information Systems 2015 DOI: 10.1504/IJBIS.2015.069062
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