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Brás G, Silva AM, Wanner EF. Multi-gene genetic programming to building up fuzzy rule-base in Neo-Fuzzy-Neuron networks. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2021. [DOI: 10.3233/jifs-202146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
This paper introduces a new approach to build the rule-base on Neo-Fuzzy-Neuron (NFN) Networks. The NFN is a Neuro-Fuzzy network composed by a set of n decoupled zero-order Takagi-Sugeno models, one for each input variable, each one containing m rules. Employing Multi-Gene Genetic Programming (MG-GP) to create and adjust Gaussian membership functions and a Gradient-based method to update the network parameters, the proposed model is dubbed NFN-MG-GP. In the proposed model, each individual of MG-GP represents a complete rule-base of NFN. The rule-base is adjusted by genetic operators (Crossover, Reproduction, Mutation), and the consequent parameters are updated by a predetermined number of Gradient method epochs, every generation. The algorithm uses Elitism to ensure that the best rule-base is not lost between generations. The performance of the NFN-MG-GP is evaluated using instances of time series forecasting and non-linear system identification problems. Computational experiments and comparisons against state-of-the-art alternative models show that the proposed algorithms are efficient and competitive. Furthermore, experimental results show that it is possible to obtain models with good accuracy applying Multi-Gene Genetic Programming to construct the rule-base on NFN Networks.
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Affiliation(s)
- Glender Brás
- Graduate Program in Mathematical and Computational Modeling, CEFET-MG - Federal Center of Technological Education of Minas Gerais, Av. Amazonas, 7675 - Nova Gameleira, Belo Horizonte - MG - Brazil
| | - Alisson Marques Silva
- Graduate Program in Mathematical and Computational Modeling, CEFET-MG - Federal Center of Technological Education of Minas Gerais, Av. Amazonas, 7675 - Nova Gameleira, Belo Horizonte - MG - Brazil
| | - Elizabeth Fialho Wanner
- Graduate Program in Mathematical and Computational Modeling, CEFET-MG - Federal Center of Technological Education of Minas Gerais, Av. Amazonas, 7675 - Nova Gameleira, Belo Horizonte - MG - Brazil
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Alavidoost MH, Jafarnejad A, Babazadeh H. A novel fuzzy mathematical model for an integrated supply chain planning using multi-objective evolutionary algorithm. Soft comput 2021. [DOI: 10.1007/s00500-020-05251-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Askari S, Montazerin N, Fazel Zarandi M. Modeling energy flow in natural gas networks using time series disaggregation and fuzzy systems tuned by particle swarm optimization. Appl Soft Comput 2020. [DOI: 10.1016/j.asoc.2020.106332] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Michell K, Kristjanpoller W. Strongly-typed genetic programming and fuzzy inference system: An embedded approach to model and generate trading rules. Appl Soft Comput 2020. [DOI: 10.1016/j.asoc.2020.106169] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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