Assessing cave back propagation to inform cave management strategy at Deep Mill Level Zone Mine

AbstractA connectionist model for decision support was constructed out of several back-propagation modules. Manifestations serve as input to the model; they may be real-valued, and the confidence in their measurement may be specified. The model produces as its output the posterior probability of disease. The model was trained on 1,000 cases taken from a simulated underlying population with three conditionally independent manifestations. The first manifestation had a linear relationship between value and posterior probability of disease, the second had a stepped relationship, and the third was normally distributed. An independent test set of 30,000 cases showed that the model was better able to estimate the posterior probability of disease (the standard deviation of residuals was 0.046, with a 95% confidence interval of 0.046-0.047) than a model constructed using logistic regression (with a standard deviation of residuals of 0.062, with a 95% confidence interval of 0.062-0.063). The model fitted the normal and stepped manifestations better than the linear one. It accommodated intermediate levels of confidence well.

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Some statistical and CI models to predict chaotic high-frequency financial data

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189107 ◽

2020 ◽

Vol 39 (5) ◽

pp. 6419-6430

Author(s):

Dusan Marcek

Keyword(s):

Time Series Data ◽

Moving Average ◽

Methodological Approach ◽

Back Propagation ◽

Large Data ◽

Series Data ◽

Data Set ◽

Training Time ◽

Optimal Population ◽

Forecast Time

To forecast time series data, two methodological frameworks of statistical and computational intelligence modelling are considered. The statistical methodological approach is based on the theory of invertible ARIMA (Auto-Regressive Integrated Moving Average) models with Maximum Likelihood (ML) estimating method. As a competitive tool to statistical forecasting models, we use the popular classic neural network (NN) of perceptron type. To train NN, the Back-Propagation (BP) algorithm and heuristics like genetic and micro-genetic algorithm (GA and MGA) are implemented on the large data set. A comparative analysis of selected learning methods is performed and evaluated. From performed experiments we find that the optimal population size will likely be 20 with the lowest training time from all NN trained by the evolutionary algorithms, while the prediction accuracy level is lesser, but still acceptable by managers.

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Economic benefit of shale gas exploitation based on back propagation neural network

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189279 ◽

2020 ◽

Vol 39 (6) ◽

pp. 8823-8830

Author(s):

Jiafeng Li ◽

Hui Hu ◽

Xiang Li ◽

Qian Jin ◽

Tianhao Huang

Keyword(s):

Neural Network ◽

Shale Gas ◽

Bp Neural Network ◽

Large Scale ◽

Linear Prediction ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Economic Benefits ◽

Gas Well ◽

Well Production

Under the influence of COVID-19, the economic benefits of shale gas development are greatly affected. With the large-scale development and utilization of shale gas in China, it is increasingly important to assess the economic impact of shale gas development. Therefore, this paper proposes a method for predicting the production of shale gas reservoirs, and uses back propagation (BP) neural network to nonlinearly fit reservoir reconstruction data to obtain shale gas well production forecasting models. Experiments show that compared with the traditional BP neural network, the proposed method can effectively improve the accuracy and stability of the prediction. There is a nonlinear correlation between reservoir reconstruction data and gas well production, which does not apply to traditional linear prediction methods

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MUHAMMADIYAH SCHOOL MANAGEMENT STRATEGY IN BANGKA BELITUNG

Berumpun International Journal of Social Politics and Humanities ◽

10.33019/berumpun.v3i1.24 ◽

2020 ◽

Vol 3 (1) ◽

pp. 13-22

Author(s):

Sri Sugiyarti ◽

Muhammad Iqbal Arrosyad

Keyword(s):

High School ◽

High Schools ◽

Management Strategy ◽

School Principals ◽

Public Confidence ◽

Education Management ◽

National Examination ◽

School Year ◽

Vocational High Schools ◽

New Facilities

The charitable endeavors of Muhammadiyah in the Bangka Belitung Region in the field of education from the levels of Elementary Schools, Junior High Schools, and High Schools and Vocational High Schools are spread to all districts/cities. However, the discussion about Muhammadiyah education in Bangka Belitung is very minimal. This research is a descriptive study with a qualitative approach. This study took the sample of the oldest and best senior high school as an illustration of Muhammadiyah education management in Bangka Belitung. The results showed that Muhammadiyah Education experienced various obstacles to the threat of closure, however, they were able to rise from adversity. Muhammadiyah Pangkalpinang High School as the oldest school departed from a school that boarded at Muhammadiyah Middle School and later became one of the most popular schools in the era of the 1990s to accommodate students up to 18 classes, but later it fell free and was almost closed due to the lack of students. Several times the change of school principals has not improved, a new hope is obtained when the management of this school is submitted to the STKIP Muhammadiyah Bangka Belitung to become its lab school. Now with new facilities and management, the number of students is increasing, slowly but surely this school is starting to improve itself. Meanwhile, Muhammadiyah Toboali High School, South Bangka Regency, which was established in 1994, almost lost public confidence, due to a large number of students who failed the National Examination for the 2006/2007 school year. The situation changed along with Supiandi's leadership, his persistence in managing the school, and finally, the trust in the community returned. Now the number of students has reached nearly 500 students

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Management Strategy for Distributing Questionnaires and Interview Guidelines in the Research Data Collection Process

Aptisi Transactions on Management (ATM) ◽

10.33050/atm.v2i2.802 ◽

2018 ◽

Vol 2 (2) ◽

pp. 104-111

Author(s):

Po. Abas Sunarya ◽

George Iwan Marantika ◽

Adam Faturahman

Keyword(s):

Focus Group ◽

Data Collection ◽

Management Strategy ◽

Research Data ◽

Accurate Information ◽

Focus Group Interviews ◽

Good Management ◽

Research Activities ◽

Data Collection Process ◽

Group Interviews

Writing can mean lowering or describing graphic symbols that describe a languageunderstood by someone. For a researcher, management of research preparation is a veryimportant step because this step greatly determines the success or failure of all researchactivities. Before a person starts with research activities, he must make a written plan commonlyreferred to as the management of research data collection. In the process of collecting researchdata, of course we can do the management of questionnaires as well as the preparation ofinterview guidelines to disseminate and obtain accurate information. With the arrangement ofplanning and conducting interviews: the ethics of conducting interviews, the advantages anddisadvantages of interviews, the formulation of interview questions, the schedule of interviews,group and focus group interviews, interviews using recording devices, and interview bias.making a questionnaire must be designed with very good management by giving to theinformation needed, in accordance with the problem and all that does not cause problems at thestage of analysis and interpretation.

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STRATEGI MANAJEMEN KAS (CASH MANAGEMENT) DALAM RANGKA OPTIMALISASI DANA PADA YAYASAN INSAN MADANI SEJAHTERA (YIMS) TAHUN 2004-2009

Jurnal Ilmiah Binaniaga ◽

10.33062/jib.v8i02.322 ◽

2019 ◽

Vol 8 (02) ◽

pp. 21

Author(s):

Yuli Anwar

Keyword(s):

Management Strategy ◽

Social Institutions ◽

Skills Training ◽

Health Economy ◽

Economic Empowerment ◽

Cash Management ◽

Private Institutions ◽

Public Health Services ◽

Caring Teachers ◽

The Social

cash management strategy (cash management) in order to optimize the foundation fund civil insan prosper (yims) year 2004-2009. Cash management strategy (cash management) in order to optimize the funds on Madani Insan Sejahtera Foundation (Yims) include: revenue from the year 2004 amounting to Rp. 18,250,500.00 until 2009 to Rp. 559,454,000.00 or 300 times increase. Similarly, expenditure in the form of compensation, public health services, skills training, caring teachers and preachers, the economic empowerment of the ummah, qurban from 2004 amounting to Rp. 17,787,500.00 until 2009 to Rp. 559 005 100 is almost 300%. The channeling of funds up to 98% - 102% from 2004 to 2009. The remaining funds are used for operational reserves the foundation. The Foundation expects an increase in revenue from activities that are funded in accordance mission of the foundation is: (1) to provide services to the community through empowerment programs that integrate educational programs, health, economy and skills. (2) Being a liaison between the haves with the community through the distribution of funds can not afford the social, charity, infaq, shodaqoh and humanitarian funds. (3) Establish partnerships with both private institutions, government or other social institutions in reducing social problems in the community. Keywords : cash management

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