针对原始加入动量项最小均方MLMS(momentum least mean square)算法在低信噪比情况下,容易产生稳态失调,提出一种引入动态因子的改进MLMS算法。该算法采用动态因子来控制步长对瞬时误差信号的敏感性,并且采用当前误差信号e(n)和上一次...针对原始加入动量项最小均方MLMS(momentum least mean square)算法在低信噪比情况下,容易产生稳态失调,提出一种引入动态因子的改进MLMS算法。该算法采用动态因子来控制步长对瞬时误差信号的敏感性,并且采用当前误差信号e(n)和上一次误差信号e(n-1)的自相关估计来调整步长迭代,增强了算法对噪声的抗干扰性,提高了谐波检测的精度。该算法在稳态精度上优于原始算法,MATLAB仿真结果验证了该算法的有效性和可行性。展开更多
According to the exact expression of the maladjustment, an equation for calculating the boundary of step-size in MLMS algorithm is derived and the relationship between the convergence rate and step-size is discussed i...According to the exact expression of the maladjustment, an equation for calculating the boundary of step-size in MLMS algorithm is derived and the relationship between the convergence rate and step-size is discussed in detail. It is shown that the threshold of the step-size is constrained by maladjustment. Three different properties are presented between the LMS and MLMS algorithms based on comparison. It is indicated that MLMS does not differ significantly from LMS when the given maladjustment is small.展开更多
The performance of deep learning models is heavily reliant on the quality and quantity of train-ing data.Insufficient training data will lead to overfitting.However,in the task of alert-situation text classification,i...The performance of deep learning models is heavily reliant on the quality and quantity of train-ing data.Insufficient training data will lead to overfitting.However,in the task of alert-situation text classification,it is usually difficult to obtain a large amount of training data.This paper proposes a text data augmentation method based on masked language model(MLM),aiming to enhance the generalization capability of deep learning models by expanding the training data.The method em-ploys a Mask strategy to randomly conceal words in the text,effectively leveraging contextual infor-mation to predict and replace masked words based on MLM,thereby generating new training data.Three Mask strategies of character level,word level and N-gram are designed,and the performance of each Mask strategy under different Mask ratios is analyzed and studied.The experimental results show that the performance of the word-level Mask strategy is better than the traditional data augmen-tation method.展开更多
Since the recent crack down on pyramid and ponzi schemes, there have been attempts by unscrupulous persons to devise alternative means of attracting unsuspecting persons willing to do legitimate businesses for financi...Since the recent crack down on pyramid and ponzi schemes, there have been attempts by unscrupulous persons to devise alternative means of attracting unsuspecting persons willing to do legitimate businesses for financial gains. The Caribbean Policy Research Institute [CAPRIl] （2008） in its report titled ＂Investigating Informal Investment Schemes in Jamaica＂ stated in its analysis of the characteristics of multilevel, pyramid, and ponzi schemes that despite the heterogeneity in the structure of these organizations, they all involve large numbers of small investors who are often lured into participating in a wide range of investment activities or financial hedging through the administration of a central unit. These schemes rely predominantly on new customers/clients to fund payments to existing customers. The need for a consistent supply of new recruits for sustainability and perceived growth is paramount. Based on the CAPRI report, pyramid schemes are unsustainable investment ploys that always fail to meet the expectations of over 90% of its investors with very little emphasis on profit-making ventures or products. This paper will examine the similarity between the recently foiled financial pyramid schemes and the current multilevel marketing （MLM） strategies of consumables that are cunningly being proposed as legitimate business and entrepreneurial options. This paper will present handy information for persons interested in participating in MLM businesses and regulators in order to make informed decisions to avoid a repeat of unwise investment.展开更多
文摘针对原始加入动量项最小均方MLMS(momentum least mean square)算法在低信噪比情况下,容易产生稳态失调,提出一种引入动态因子的改进MLMS算法。该算法采用动态因子来控制步长对瞬时误差信号的敏感性,并且采用当前误差信号e(n)和上一次误差信号e(n-1)的自相关估计来调整步长迭代,增强了算法对噪声的抗干扰性,提高了谐波检测的精度。该算法在稳态精度上优于原始算法,MATLAB仿真结果验证了该算法的有效性和可行性。
文摘According to the exact expression of the maladjustment, an equation for calculating the boundary of step-size in MLMS algorithm is derived and the relationship between the convergence rate and step-size is discussed in detail. It is shown that the threshold of the step-size is constrained by maladjustment. Three different properties are presented between the LMS and MLMS algorithms based on comparison. It is indicated that MLMS does not differ significantly from LMS when the given maladjustment is small.
基金Supported by the Humanities and Social Sciences Research Project of the Ministry of Education(No.22YJA840004).
文摘The performance of deep learning models is heavily reliant on the quality and quantity of train-ing data.Insufficient training data will lead to overfitting.However,in the task of alert-situation text classification,it is usually difficult to obtain a large amount of training data.This paper proposes a text data augmentation method based on masked language model(MLM),aiming to enhance the generalization capability of deep learning models by expanding the training data.The method em-ploys a Mask strategy to randomly conceal words in the text,effectively leveraging contextual infor-mation to predict and replace masked words based on MLM,thereby generating new training data.Three Mask strategies of character level,word level and N-gram are designed,and the performance of each Mask strategy under different Mask ratios is analyzed and studied.The experimental results show that the performance of the word-level Mask strategy is better than the traditional data augmen-tation method.
文摘Since the recent crack down on pyramid and ponzi schemes, there have been attempts by unscrupulous persons to devise alternative means of attracting unsuspecting persons willing to do legitimate businesses for financial gains. The Caribbean Policy Research Institute [CAPRIl] （2008） in its report titled ＂Investigating Informal Investment Schemes in Jamaica＂ stated in its analysis of the characteristics of multilevel, pyramid, and ponzi schemes that despite the heterogeneity in the structure of these organizations, they all involve large numbers of small investors who are often lured into participating in a wide range of investment activities or financial hedging through the administration of a central unit. These schemes rely predominantly on new customers/clients to fund payments to existing customers. The need for a consistent supply of new recruits for sustainability and perceived growth is paramount. Based on the CAPRI report, pyramid schemes are unsustainable investment ploys that always fail to meet the expectations of over 90% of its investors with very little emphasis on profit-making ventures or products. This paper will examine the similarity between the recently foiled financial pyramid schemes and the current multilevel marketing （MLM） strategies of consumables that are cunningly being proposed as legitimate business and entrepreneurial options. This paper will present handy information for persons interested in participating in MLM businesses and regulators in order to make informed decisions to avoid a repeat of unwise investment.
