The wavelet neural network (WNN) has the drawbacks of slow convergence speed and easy falling into local optima in data prediction. Although the artificial bee colony (ABC…
Abstract
Purpose
The wavelet neural network (WNN) has the drawbacks of slow convergence speed and easy falling into local optima in data prediction. Although the artificial bee colony (ABC) algorithm has strong global optimization ability and fast convergence speed, it also has the drawbacks of slow speed while finding the optimal solution and weak optimization ability in the later stage.
Design/methodology/approach
This article uses an ABC algorithm to optimize the WNN and establishes an ABC-WNN analysis model. Based on the example of the Jinan Yuhan underground tunnel project, the deformation of the surrounding rock of the double-arch tunnel crossing the fault fracture zone is predicted and analyzed, and the analysis results are compared with the actual detection amount.
Findings
The comparison results show that the predicted values of the ABC-WNN model have a high degree of fitting with the actual engineering data, with a maximum relative error of only 4.73%. On this basis, the results show that the statistical features of ABC-WNN are the lowest, with the errors at 0.566 and 0.573, compared with the single back propagation (BP) neural network model and WNN model. Therefore, it can be derived that the ABC-WNN model has higher prediction accuracy, better computational stability and faster convergence speed for deformation.
Originality/value
This article uses firstly the ABC-WNN for the deformation analysis of double-arch tunnels. This attempt laid the foundation for artificial intelligence prediction in deformation analysis of multi-arch tunnels and small clearance tunnels. It can provide a new and effective way for deformation prediction in similar projects.
Details
Keywords
Yuhan Liu, Linhong Wang, Ziling Zeng and Yiming Bie
The purpose of this study is to develop an optimization method for charging plans with the implementation of time-of-day (TOD) electricity tariff, to reduce electricity bill.
Abstract
Purpose
The purpose of this study is to develop an optimization method for charging plans with the implementation of time-of-day (TOD) electricity tariff, to reduce electricity bill.
Design/methodology/approach
Two optimization models for charging plans respectively with fixed and stochastic trip travel times are developed, to minimize the electricity costs of daily operation of an electric bus. The charging time is taken as the optimization variable. The TOD electricity tariff is considered, and the energy consumption model is developed based on real operation data. An optimal charging plan provides charging times at bus idle times in operation hours during the whole day (charging time is 0 if the bus is not get charged at idle time) which ensure the regular operation of every trip served by this bus.
Findings
The electricity costs of the bus route can be reduced by applying the optimal charging plans.
Originality/value
This paper produces a viable option for transit agencies to reduce their operation costs.
Details
Keywords
GDP growth, money growth and inflation are essential to an economy's macroeconomic stability and have a direct impact on the policymaking process. Sri Lanka is currently concerned…
Abstract
Purpose
GDP growth, money growth and inflation are essential to an economy's macroeconomic stability and have a direct impact on the policymaking process. Sri Lanka is currently concerned about high inflation. Inflation is a monetary phenomenon. Inflation has been caused by monetary policy in several nations. According to the economic theories of Karl Marx, Irving Fisher and Milton Friedman, a continuous increase in the money supply causes inflation. This paper aims to investigate the relationship between Sri Lanka's GDP growth, money growth and inflation.
Design/methodology/approach
An econometric model and the economic theories of Fisher and Friedman are used to figure out how money supply, inflation and economic growth are linked. Between 1990 and 2021, data were gathered from secondary sources.
Findings
The increase in the money supply is found to cause inflation. Inflation has negative effects on both short- and long-term economic growth. Long-term, the increase in money supply has a negative effect on economic growth.
Research limitations/implications
According to research, the money supply and inflation are inextricably linked, and the money supply has a direct impact on economic growth. As a result, the government should have an appropriate monetary policy and proposals to control inflation levels and stimulate economic growth.
Originality/value
The paper adds to the existing literature in two ways. First, it fills in the lack of studies in Sri Lanka, where there are no papers on this important relationship, especially with a modern econometric study. Second, it tries to shed light on the asymmetric shocks (both positive and negative shocks and changes) between the three variables, which was not done in previous studies.