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One-Dimensional Chaotic Function for Financial Applications Using Soft Computing Techniques

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Advances in Distributed Computing and Machine Learning

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 127))

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Abstract

Cash forecasting is essential as a delay in process could lead to dissatisfaction of customers in financial organization. To maintain the actual cash requirement without any financial loss is difficult. Particle swarm optimization (PSO) enhanced the efficiency to converge the dataset and it will be easier to fall into local optima might prove fatal. Hence, chaotic system has been introduced to significantly enhance the interpretation toward cash management model for any financial organization. In the proposed study, one-dimensional chaotic-particle swarm optimization (CPSO) functions were used to improve the search strategy in the given problem space to yield the optimal values. The experimental analysis was made using chaotic sequence which shows the effectiveness of our proposed approach. Hence, the proposed methodology has the ability to increase the convergence rate without premature convergence.

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Author information

Authors and Affiliations

  1. Department of Computer Applications, Presidency College, Bengaluru, Karnataka, 560094, India

    A. Alli, J. Vijay Fidelis & S. Deepa

  2. Department of Computer Application, Government Arts College, Udumalpet, Tirupur, Coimbatore, 642126, India

    E. Karthikeyan

Authors
  1. A. Alli
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  2. J. Vijay Fidelis
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  3. S. Deepa
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  4. E. Karthikeyan
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Corresponding author

Correspondence to J. Vijay Fidelis .

Editor information

Editors and Affiliations

  1. Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Asis Kumar Tripathy

  2. San Diego State University, San Diego, CA, USA

    Mahasweta Sarkar

  3. Institute of Technical Education and Research (ITER), Siksha ‘O’ Anusandhan (SOA) Deemed to be University, Bhubaneswar, Odisha, India

    Jyoti Prakash Sahoo

  4. Providence University, Taichung, Taiwan

    Kuan-Ching Li

  5. National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Suchismita Chinara

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Alli, A., Vijay Fidelis, J., Deepa, S., Karthikeyan, E. (2021). One-Dimensional Chaotic Function for Financial Applications Using Soft Computing Techniques. In: Tripathy, A., Sarkar, M., Sahoo, J., Li, KC., Chinara, S. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-15-4218-3_45

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