Integrated sliding mode control of robot manipulator based on fuzzy adaptive RBF by FENG Jiaqing, ZHANG Lei, TIAN Dongyu

“…Firstly, a modified power-of-two convergence law is used and combined with an integral sliding mode to design a sliding mode control term to shorten the convergence of the tracking error. Secondly, the approximations of the uncertain variables of the dynamical model are accomplished by using the three sets of RBF neural networks and introducing an adaptive mechanism for online self-tuning of weights, the approximation errors of the RBF neural networks are compensated by using the sliding-mode control term designed in the previous section. …”
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Fuzzy Sliding Mode Control with Moving Sliding Surface of Rotary Inverted Pendulum by Oğuz Yakut, Muhammet Aydın

“…The sum of the squares of the errors is preferred as the objective function. Inputs of the fuzzy logic structure are the error of the pendulum angle and the derivative of pendulum angle error. …”
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The Role of Interviewer Observations in Obtaining Representative Data in Repeated Cross-National Studies by Hafsteinn Einarsson, Alexandru Cernat, Natalie Shlomo

“…These methods may reduce the risk of differential survey errors occurring in such surveys. …”
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The drivers of export product diversification in China: does natural resource endowments matter? by Jabbar Ul-Haq, Hubert Visas, Anatolijs Krivins, Rita Remeikienė, Qazi Muhammad Adnan Hye

“…The results of the Fixed Effect-Driscoll-Kraay standard errors (FE-DKSE) indicate a positive and significant relationship between NRE and EPD. …”
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The dynamics of financial performance and market performance in the context of Indian banking industry [version 2; peer review: 1 approved, 2 approved with reservations] by Kshirod Panigrahi, Ashok Sar

“…The study has employed multiple linear regression analysis of panel data for evaluating the relationship between independent and dependent variables. We adopted panel regression for data analysis and used the Prais- Winsten regression with panel corrected standard errors, as the data suffers from contemporaneous cross-sectional correlation. …”
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Efficient sampling designs to assess biodiversity spatial autocorrelation: should we go fractal? by Laroche, Fabien

“…Using maximum likelihood estimation in an optimal design of experiments approach, we compared errors of hybrid and fractal designs when simultaneously estimating an effect acting upon a response variable and the residual autocorrelation range. …”
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Movement Competency Screens Can Be Reliable In Clinical Practice By A Single Rater Using The Composite Score by Kerry J. Mann, Nicholas O'Dwyer, Michaela R. Bruton, Stephen P. Bird, Suzi Edwards

“…Experts detected more movement errors than novices and both rating groups improved their detection of errors with repeated viewings of the same movement…”
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Advances in the pilot point inverse method: Où En Sommes-Nous maintenant? by White, Jeremy, Lavenue, Marsh

“…., 2000], but with a particular focus on the incredible adoption and advancement of de Marsily’s PPM and related inverse techniques over the last twenty years in the field of predictive groundwater modeling.Much has been written about the vast array of inverse techniques developed by researchers and practitioners since the 1960s. de Marsily’s PPM, like many methods developed in the late 70s and early 80s, structured its approach to parameterization to overcome many of the challenges of applying inverse methods to real world problems, namely, limited head and transmissivity data relative to the number of unknowns to be estimated, measurement errors, inferred covariance structures of the state variables, and limited computational resources. …”
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Integration of artificial intelligence and advanced optimization techniques for continuous gas lift under restricted gas supply: A case study by Leila Zeinolabedini, Forough Ameli, Abdolhossein Hemmati-Sarapardeh

“…The results for model errors were found to be %2.09, %2.99, %10.68, and %1.75 for MLP, RBF, GRNN, and CFNN, respectively. …”
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Bank Credit and Loan Repayment During Covid-19 In Kabale District: A Case of Lyamujungu SACCO. by Byamukama, Dicky

“…The collected data was cross-checked for errors of omission and completeness, coded and analysed using SPSS computer package. …”
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Exportaciones, inversión y crecimiento económico en Centroamérica by Luis René Cáceres

“…Se estimaron modelos de corrección de errores de cada país y se analiza las relaciones de causalidad de Granger entre las distintas variables. …”
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OIL PRICES AND THEIR LONG-TERM RELATIONSHIP WITH MACROECONOMIC AND FINANCIAL INDICATORS by Vesna Bucevska, Borjan Gjelevski, Lea Matevska

“…In order to find the cointegrating relationship between the above mentioned variables, the Johansen test was used, after which, the Vector Error Correction Model (VECM) system was composed to formulate a set of equations that explain all the variables. …”
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OIL PRICES AND THEIR LONG-TERM RELATIONSHIP WITH MACROECONOMIC AND FINANCIAL INDICATORS by Vesna Bucevska, Borjan Gjelevski, Lea Matevska

“…In order to find the cointegrating relationship between the above mentioned variables, the Johansen test was used, after which, the Vector Error Correction Model (VECM) system was composed to formulate a set of equations that explain all the variables. …”
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En busca del oro ¿Qué determina el éxito en competencias deportivas internacionales? by Dante Contreras, Andrés Gómez-Lobo

“…Dado que el número de medallas obtenidas depende del esfuerzo y recursos de los otros países en competencia, la estimación econométrica incorpora en la matriz de varianza-covarianza dicha correlación de errores. Los resultados indican que si se controla por efectos no observables por país, las variables de población y PIB no parecen afectar el número de medallas ganadas en los Juegos Panamericanos. …”
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Advancements and Challenges in Character Recognition: A Comparative Analysis of CNN and Deep Learning Approaches by Yang Ximin

“…Future research should focus on integrating supportive methods to improve segmentation and finding an optimal trade-off between variable complexity and computational efficiency, thereby advancing the practical application of character recognition systems across various domains.…”
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FUZZY LOGIC APPROACH TO ENERGY PLANNING IN NIGERIA by ADE-IKUESAN OLANIKE OLUFISAYO, ATILOLA MORUFDEEN OLATUNBOSUN, OYEDEJI AJIBOLA OLUWAFEMI, ADEYEMI HEZEKIAH OLUWOLE

“…After arranging the variables into 5 membership functions and the 19 rules were created, the fuzzy logic model forecast the annual load demand for the next 10 years with a percentage error margin 0.95 % to 21.79 % which results to a mean absolute percentage error (MAPE) of 8.34 %. …”
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An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical... by Abhijeet Das

“…Proceeding further, ANN model showed exceptional accuracy in water quality prediction, highlighting the dependability and accuracy of errors in the current work, that includes MAE, MSE, MAD, and RMSE, but also record highest in the validation of goodness-of-fit metrics (NSE and R2). …”
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The mediating role of illness perception in the relationship between psychological hardiness and the health status of covid-19 (coronavirus disease) survived patients by Sajjad Rezaei, Mohammad Hoseini nia, Mozhgan Vakilian

“…However, a better fit was achieved by releasing several covariance errors and explained 47% of the PHQ-9 scores (χ^2^/df=2.46, RMSEA=0.075, CFI=0.950, PCFI=0.689, IFI=0.953, GFI=0.964). …”
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The Impact of Non-constant Inertia and Nonlinear Damping on the Torsional Vibration Characteristics of Internal Combustion Engine Including External Forces by Hameed D. Lafta

“…An accurate and sophisticated nonlinear dynamic model overcomes the obvious simulation errors of linearized models. The present work studies the effect of the non-conservative forces and nonlinear damping on the torsional vibration of single-cylinder internal combustion engines. …”
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Clinicopathological spectrum of central nervous system germ cell tumors: A single-institution retrospective study by Sreelekha Appasani, Neelima Radhakrishnan, Anitha Mathews

“…Statistical Analysis: Data on categorical variables were analyzed as percentages, and data on continuous variables calculated as mean. …”
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