The Combination of Newton-Raphson Method and  Curve-Fitting Method for PWM-based Inverter

Tohtayong, Majdee; Khan, Sheroz; Yaacob, Mashkuri; Yusoff, Siti Hajar; Midi, Nur Shahida; Ahmed, Mohiuddin; Wafa, Fawwaz; Aboadla, Ezzidin Hassan Elmabrouk; Aznan, Khairil Azhar

doi:10.11591/ijpeds.v8.i4.pp1919-1931

Cited by 2 publications

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“…At present, a variety of neural network models have been put forward in the academic eld, including radial basis function network [20], Hop eld network [21], CMAC cerebellum model [22], and BP NN. is paper studies BP NN.…”

Section: Bp Neural Networkmentioning

confidence: 99%

English Speech Recognition System Model Based on Computer-Aided Function and Neural Network Algorithm

Jin

2022

Computational Intelligence and Neuroscience

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With the economic globalization continuous growth of China’s socioeconomic level tends to be internationalized, China’s attention to English has been significantly improved. However, the domestic English teaching level is limited, so it is impossible to correct students’ English pronunciation and make a reasonable evaluation at all times so that oral training has certain disadvantages. However, the computer-aided language learning system at home and abroad focuses on the practice of words and grammar, and the evaluation indicators are less and not comprehensive. In view of the complexity of English pronunciation changes, traditional speech recognition is difficult to recognize speech speed and improve its accuracy. Furthermore, to strengthen the English pronunciation of domestic students, a nonlinear network structure is studied in depth to simulate the human brain to analyze a model of speech recognition is established Mel frequency cepstrum characteristic parameters of human ear model and deep belief network. In this paper, the traditional computer pronunciation evaluation method is improved in an all-round way, and a set of high-quality speech recognition system of speech recognition method is constructed. Aiming at the above problems, it takes the students as the research, which proves that the method adopted in this paper can give the learners accurate pronunciation quality analysis report and guidance and correct their intonation and improve the learning effect, and the experimental data verify that the improved speech recognition system model recognition ability is higher than the traditional model.

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Section: Bp Neural Networkmentioning

confidence: 99%

English Speech Recognition System Model Based on Computer-Aided Function and Neural Network Algorithm

Jin

2022

Computational Intelligence and Neuroscience

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“…[ Where M is the modulation index= 1 , where 1 is the fundamental component of the output voltage, 3, 5, 7, 9 are the 3 rd , 5 th , 7 th , and 9 th harmonics components respectively [24,25]. An m-file using MATLAB platform is used to solve these nonlinear ( 6)-( 10) based on "Newton-Raphson Method".…”

Section: Selective Harmonic Eliminationmentioning

confidence: 99%

Implementation of SHE-PWM technique for single-phase inverter based on Arduino

Mohammed

Husain

Ibraheem

2021

IJECE

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This paper presents design and practical implementation of single-phase inverter based on selective harmonic elimination-pulse width modulation (SHE-PWM) technique. Microcontroller mega type Arduino used as a controller for producing the gate pulses. The optimized switching angles determination results in wide range of output voltage. Depending on number of switching angles, the lower order harmonics (LOHs) can be eliminated to improve the output voltage waveform. A comparison study using MATLAB/Simulink for sinusoidal-PWM and SHE-PWM techniques, which shows for the same LOH in the output voltage waveform, the SHE-PWM has less number of pulses per half cycle than sinusoidal-PWM strategy. The reduction in number of pulses results less switching losses. The simulation done using ten switching angles to drive R-L load. A prototype of SHE-PWM inverter with R-L load is used to validate the simulation results.

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The Combination of Newton-Raphson Method and Curve-Fitting Method for PWM-based Inverter

Cited by 2 publications

References 0 publications

English Speech Recognition System Model Based on Computer-Aided Function and Neural Network Algorithm

English Speech Recognition System Model Based on Computer-Aided Function and Neural Network Algorithm

Implementation of SHE-PWM technique for single-phase inverter based on Arduino

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