Price forecast of Yunnan Pu’er tea based on the MLP neural network

2020 ◽  
Vol 20 (3) ◽  
pp. 807-815
Author(s):  
Zhiwu Dou ◽  
Mingxin Ji ◽  
Zhihui Yuan ◽  
Haibo Li
Keyword(s):  
Neural Network ◽  
Yunnan Province ◽  
Quantitative Methods ◽  
Decisive Role ◽  
Activation Function ◽  
Mlp Neural Network ◽  
Price Forecast ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Hidden Layer

Pu’er tea as the landmark product of Yunnan province, which plays a decisive role in the national tea industry and the economic development of Yunnan province. At present, the qualitative and quantitative methods cannot be accurately predicted the price of Pu’er tea. In order to solve this problem, this paper tries to use MLP neural network to forecast Pu’er tea price. Firstly, determine the influencing factors of Pu’er tea price, then established the MLP neural network model, selection activation function and design the number of neurons and the hidden layer size, finally compare the method between MLP and random forest to verify the feasibility and effectiveness of the MLP method.

scholarly journals Exploring the Differences Between Tourists and Locals in Urban Settings Through Multi-labeled Geotagged Photos: The Case of Tokyo

2021 ◽  
Vol 4 ◽  
pp. 1-8
Author(s):  
Ahmed Derdouri ◽  
Toshihiro Osaragi
Keyword(s):  
Neural Network ◽  
Quantitative Methods ◽  
City Planning ◽  
Tourist Attractions ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Additional Information ◽  
Points Of Interest ◽  
Geotagged Photos ◽  
Nearest Points

Abstract. Understanding the behaviors of both locals and tourists is essential for good city planning, especially in tourism-dependent cities. This study aimed to explore the disparities between the two groups on the basis of their geotagged photos taken in Tokyo during the last decade (2009–2019). The photos were collected from the photosharing platform Flickr. Locals and tourists were then identified. Next, a transfer-learning-based convolutional neural network model was developed to multi-label photos into eight general categories reflecting the major frequented activities/locations, including nature, amusement, and culture. Additional information was assigned to these records, including distances to various nearest points of interest. Qualitative and quantitative methods were used to investigate the differences between locals and tourists. Results showed that tourists have a strong preference for amusement while locals are attracted to nature. In contrast to tourists who are not followed by job obligations, locals’ photos are mostly taken during the weekends. Given their familiarity with the area, locals tend to cover a wider spatial extent compared to tourists who are concentrated near the Yamanote railway loop line connecting most of the tourist attractions.

The Status of Livelihood Vulnerability and Its CopingCapacities of Urban Squatters in Kathmandu Metropolitan City, Nepal

Patan Pragya ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 19-32
Author(s):  
Chhabi Ram Baral
Keyword(s):  
Data Collection ◽  
Urban Area ◽  
Urban Areas ◽  
Quantitative Methods ◽  
Urban Poverty ◽  
Rural Poverty ◽  
Poor People ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
The Status

Urban poverty is one of multidimensional issue in Nepal. Increasing immigration from the outer parts of Kathmandu due to rural poverty, unemployment and weak security of the lives and the properties are core causes pushing people into urban areas. In this context how squatter urban area people sustain their livelihoods is major concern. The objectives of the study are to find out livelihood assets and capacities squatters coping with their livelihood vulnerability in adverse situation. Both qualitative and quantitative methods are applied for data collection. It is found that squatters social security is weak, victimized by severe health problems earning is not regular with lack of physical facilities and overall livelihood is critical. This study helps to understand what the changes that have occurred in livelihood patterns and how poor people survive in urban area.

scholarly journals An overview of the rationale for qualitative research methods in social health

2013 ◽  
Vol 01 (01) ◽  
pp. 006-008
Author(s):  
Heather Stuckey
Keyword(s):  
Qualitative Research ◽  
Health Care Professionals ◽  
Quantitative Methods ◽  
Diabetes Management ◽  
Social Health ◽  
Diabetes Research ◽  
Medical Outcomes ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Beliefs And Attitudes

Qualitative research is a primary way to understand the context of diabetes in a person′s life, beyond the medical outcomes. Identifying the qualitative issues such as patients′ knowledge about diabetes, their beliefs and attitudes, and their relationship with health care professionals can serve as data to determine the obstacles and, in turn, resolutions to those issues in diabetes management. Characteristics of qualitative and quantitative methods are described, with the discussion that both methods are complementary, not conflicting, to further the field of diabetes research.

scholarly journals Risk of Increased Acceptance for Organizational Nepotism and Cronyism during the COVID-19 Pandemic

Risks ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 59
Author(s):  
Grzegorz Ignatowski ◽  
Łukasz Sułkowski ◽  
Bartłomiej Stopczyński
Keyword(s):  
Qualitative Study ◽  
Quantitative Methods ◽  
Research Work ◽  
Negative Effects ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Work Related ◽  
Social And Economic Development ◽  
The Times ◽  
The Impact

Nepotism and cronyism are forms of favoritism towards certain people in the workplace. For this reason, they constitute a problem for organization managers, ethicists and psychologists. Identifying the impact of COVID-19 pandemic on the increase of nepotism and cronyism may provide a basis for organizations to assess their extent and to take possible measures to prevent their negative effects. At the same time, the research presented in the article may provide a basis for further research work related to nepotism and cronyism at the times of other threats, different from the pandemic. The aim of the article is to examine the impact of the COVID-19 pandemic on growing acceptance for nepotism and cronyism in Polish enterprises. Qualitative and quantitative methods have been included in the conducted research. Qualitative study aimed at improving knowledge of nepotism and cronyism and the impact of the COVID-19 pandemic on these phenomena, followed by a quantitative study conducted in order to verify the information obtained in the qualitative study. This research has demonstrated that Nepotism and cronyism in the workplace, are phenomenon that are basically evaluated negatively. They adversely influences social and economic development, but the impact of COVID-19 pandemic on nepotism and cronyism is not significant.

Breast cancer diagnosis using multiple activation deep neural network

2021 ◽  
pp. 1063293X2110251
Author(s):  
K Vijayakumar ◽  
Vinod J Kadam ◽  
Sudhir Kumar Sharma
Keyword(s):  
Breast Cancer ◽  
Neural Network ◽  
Deep Neural Network ◽  
Breast Cancer Diagnosis ◽  
Activation Function ◽  
Linear Functions ◽  
Cancer Data ◽  
Final Layer ◽  
Improved Performance ◽  
Hidden Layer

Deep Neural Network (DNN) stands for multilayered Neural Network (NN) that is capable of progressively learn the more abstract and composite representations of the raw features of the input data received, with no need for any feature engineering. They are advanced NNs having repetitious hidden layers between the initial input and the final layer. The working principle of such a standard deep classifier is based on a hierarchy formed by the composition of linear functions and a defined nonlinear Activation Function (AF). It remains uncertain (not clear) how the DNN classifier can function so well. But it is clear from many studies that within DNN, the AF choice has a notable impact on the kinetics of training and the success of tasks. In the past few years, different AFs have been formulated. The choice of AF is still an area of active study. Hence, in this study, a novel deep Feed forward NN model with four AFs has been proposed for breast cancer classification: hidden layer 1: Swish, hidden layer, 2:-LeakyReLU, hidden layer 3: ReLU, and final output layer: naturally Sigmoidal. The purpose of the study is twofold. Firstly, this study is a step toward a more profound understanding of DNN with layer-wise different AFs. Secondly, research is also aimed to explore better DNN-based systems to build predictive models for breast cancer data with improved accuracy. Therefore, the benchmark UCI dataset WDBC was used for the validation of the framework and evaluated using a ten-fold CV method and various performance indicators. Multiple simulations and outcomes of the experimentations have shown that the proposed solution performs in a better way than the Sigmoid, ReLU, and LeakyReLU and Swish activation DNN in terms of different parameters. This analysis contributes to producing an expert and precise clinical dataset classification method for breast cancer. Furthermore, the model also achieved improved performance compared to many established state-of-the-art algorithms/models.

Challenges posed by kinship care: A study focussing on New South Wales

2003 ◽  
Vol 28 (4) ◽  
pp. 12-18 ◽  
Author(s):  
Leonie Gibbons ◽  
Jan Mason
Keyword(s):  
Child Protection ◽  
Quantitative Methods ◽  
New South ◽  
New South Wales ◽  
Kinship Care ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
South Wales ◽  
Care And Support ◽  
Placement Option

Kinship care as a formal placement option has been steadily increasing over recent years, particularly in New South Wales. This paper draws on a report of research on kinship care in New South Wales, in which the two authors participated (Mason et al, 2002). In conducting the research, qualitative and quantitative methods were used to explore both ‘top down’ perspectives (from policy documents and statistics) and ‘bottom up’ perspectives (from child protection practitioners and those who experience policy as service recipients – kinship carers, young people in kinship care and parents of children in kinship care).In this paper we briefly outline the research and discuss findings relating to definitions of kinship care, the extent of kinship care in NSW, decision making around the placement of children in kinship care, reasons given by participants for kinship care, and support for carers.

Analysis of Formation and Testing of Efflorescence on Concrete Elements

2014 ◽  
Vol 1025-1026 ◽  
pp. 641-644 ◽  
Author(s):  
Radka Pernicová
Keyword(s):  
Quantitative Methods ◽  
Additional Measurement ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Concrete Elements

Complex of measurements methods for indicate white efflorescence are presented in this paper. This article is focus on primary efflorescence, specifically lime based, which cannot be completely avoided. Tests involve not only qualitative and quantitative methods but also recommended additional measurement. Because there are not any standard for determination this kind of efflorescence, this set of tests should help for design concrete elements and limited risks of its creation.

scholarly journals Assessing size of pituitary adenomas: a comparison of qualitative and quantitative methods on MR

2016 ◽  
Vol 158 (4) ◽  
pp. 677-683 ◽  
Author(s):  
Benjamin M. Davies ◽  
Elizabeth Carr ◽  
Calvin Soh ◽  
Kanna K. Gnanalingham
Keyword(s):  
Pituitary Adenomas ◽  
Quantitative Methods ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods

The Students’ Perceptions towards the effects of EFL Teachers’ Classroom Assessment Technique on their Academic Achievements: The Case of Four Selected Secondary Schools in Wolaita Zone, Ethiopia

2019 ◽  
Vol 7 (4) ◽  
pp. 20-27
Author(s):  
Faskal Faranso Faltamo
Keyword(s):  
Secondary Schools ◽  
Teaching And Learning ◽  
Quantitative Methods ◽  
Classroom Assessment ◽  
Qualitative And Quantitative ◽  
Secondary Sources ◽  
Qualitative And Quantitative Methods ◽  
Academic Achievements ◽  
Efl Teachers ◽  
Data Collections

Assessment is an integral part of measuring effectiveness of teaching and learning processes. It basically focused on measuring the students’ progress in what they learned. Current study examined the relation between the students’ perceptions towards EFL teachers Classroom Assessment methods and their academic achievements. To this end, descriptive research design with qualitative and quantitative methods of data collections was employed. Data were collected from primary and secondary sources via questionnaire, interview and observations. Target populations of current study were randomly selected 281students and purposely selected four teachers of secondary schools at Wolaita zone, Ethiopia. The data were analyzed using mixed methods of data analysis. Based on results obtained from qualitative and quantitative data, it was found out that the students’ perceptions towards teachers’ assessment was proportional to their achievement. Most dominantly, low achievers were not satisfied with their teachers’ methods of assessment as their students were low and the vice versa it true.

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