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| Author | Year | Method | Goal | Utility | Results |
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| Ghoushchi et al. [29] | 2021 | Fuzzy wavelet neural network | Forecasting | Forecasting of short-term wind power | The findings revealed that the suggested technique was a more efficient tool with greater precision for short-term wind power forecasting than previously published methods. |
| Shao et al. [30] | 2021 | Fuzzy wavelet neural control | Control | Control of micro-electro-mechanical system gyroscope | The effectiveness of the control technique was confirmed by simulation findings and comparisons |
| Hamedani et al. [31] | 2021 | Recurrent fuzzy wavelet neural network | Control | Control of robotic manipulators | In the case of significant disturbances, the suggested fuzzy gain dynamic surface was utilized to force the manipulator’s end-effector to track the required impedance profile |
| Ebrahimi et al. [24] | 2021 | Fuzzy wavelet neural network | Control | Observer-based controller design for uncertain nonlinear systems | Without using the usual conservative lemma or considering constraints on uncertainties, the suggested controller managed the uncertainties and external disturbances in the T-S fuzzy model |
| Luo et al. [32] | 2021 | Fuzzy wavelet neural network | Dynamical analysis | Self-sustained electromechanical seismograph system | The suggested scheme’s efficacy and benefits were demonstrated through numerical simulation |
| Abiyev and Abizada [33] | 2021 | Type-2 fuzzy wavelet neural network | Prediction | Energy performance of residential buildings | The obtained findings suggested that the T2FWNN system may be used to estimate energy performance and anticipate energy consumption in residential structures |
| Zirkohi and Shoja-Majidabad [25] | 2021 | Type-2 fuzzy wavelet neural network | Dynamical analysis | Estimating the unknown terms and the external disturbance in the chaotic systems’ dynamics | The suggested technique outperforms radial basis function neural networks in simulations, demonstrating its advantages in secure communication applications |
| Peker [26] | 2021 | Fully complex-valued wavelet neural network | Classification | Classification of hyperspectral imagery | Three data sets containing three popular hyperspectral aerial pictures were used in the tests. When compared to previous classification methods, the proposed method improved classification accuracy |
| Huang et al. [27] | 2018 | Hybrid fuzzy wavelet neural networks | Prediction | Fuzzy inference-based wavelet neurons | When compared to the outcomes provided by several prior well-known and widely utilized neurofuzzy models, experimental experiments including three extensively used data sets reveal some encouraging findings |
| Golestaneh et al. [28] | 2018 | Fuzzy wavelet extreme learning machine | Prediction, classification, and dynamic analysis | Base method | While the number of linear learning parameters is reduced and SDs are lower, the performance of FW-ELM is equivalent to that of OS-fuzzy-ELM and better than other published works for classification and regression tasks |
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