24 research outputs found
Adopting improved Adam optimizer to train dendritic neuron model for water quality prediction
Get PDFAs one of continuous concern all over the world, the problem of water quality may cause diseases and poisoning and even endanger people's lives. Therefore, the prediction of water quality is of great significance to the efficient management of water resources. However, existing prediction algorithms not only require more operation time but also have low accuracy. In recent years, neural networks are widely used to predict water quality, and the computational power of individual neurons has attracted more and more attention. The main content of this research is to use a novel dendritic neuron model (DNM) to predict water quality. In DNM, dendrites combine synapses of different states instead of simple linear weighting, which has a better fitting ability compared with traditional neural networks. In addition, a recent optimization algorithm called AMSGrad (Adaptive Gradient Method) has been introduced to improve the performance of the Adam dendritic neuron model (ADNM). The performance of ADNM is compared with that of traditional neural networks, and the simulation results show that ADNM is better than traditional neural networks in mean square error, root mean square error and other indicators. Furthermore, the stability and accuracy of ADNM are better than those of other conventional models. Based on trained neural networks, policymakers and managers can use the model to predict the water quality. Real-time water quality level at the monitoring site can be presented so that measures can be taken to avoid diseases caused by water quality problems
An investigation of the factors affecting guest selection of hotel/motel accommodation within New Zealand: development of a management decision model
Get PDFThis research investigates the factors that influence the selection of hotel/motel accommodation in New Zealand. The tourism and hospitality industries are an important part of the New Zealand economy, with tourism producing more overseas income than any other individual industry. It is vitally important for hotel and motel owners and management to understand the factors that affect occupancy in order that they may implement decisions to take best advantage of the assets and obtain the highest return on the investment. A holistic approach or one that looks at the many factors influencing hotel occupancy has been adopted as this encourages an interdisciplinary method to the study of hotel occupancy, and broadens the investigation. This gives the research a particular focus on the problem of occupancy because the analysis includes an extensive spectrum of factors.
The specific objective is to investigate the factors that influence occupancy and to produce the findings in the form of a management decision model. The data for this research was gathered from three sources: first a small group of researchers and industry stakeholders participated in-depth interviews, which comprised open questions asked to determine from their perspective the factors that have the greatest affect on occupancy. The main findings from these interviews were used to develop a survey conducted among hotel decision-makers; management was specifically chosen for this, as it was believed that there would be a broader knowledge and experience base. The final set of data was collected from a survey of potential guests.
In developing the management decision model, a number of tools were employed including neural networks and linear structural equation modelling. These analyses gave a rich result to the findings and this was applied to the development of stochastic¹ management decision models (Goel & Richter-Dyn, 1974; Bekker & Saayman, 1999), using the main findings from the interviews with researchers and industry stakeholders as a reference point.
The contribution of this research included evidence of: 1). The significant “Gap” between the factors influencing occupancy relating to researchers and industry stakeholders and hotel decision-makers on the one hand and potential guests on the other; 2). The structure and factors involved within a hotel occupancy decision model; 3). The demographic influences on the factors within the management decision model.
¹The way in which the variables within the model relate and impact on each other
Social work with airports passengers
Get PDFSocial work at the airport is in to offer to passengers social services. The main
methodological position is that people are under stress, which characterized by a
particular set of characteristics in appearance and behavior. In such circumstances
passenger attracts in his actions some attention. Only person whom he trusts can help him
with the documents or psychologically
