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This study explores the application of artificial intelligence on the causal relationship between mining production index and electricity load. The data used is the total mining production index and total electricity consumption in the mining sector sampled on a monthly basis from January 1985 to December 2011 in South Africa. Optimally-pruned and basic extreme learning machines were used to develop...
The study intends to explore EFL learners' Rhythm of English through a phonetic experiment over the reading-aloud task produced by the English learners from Guangxi Zhuang Autonomous Region. The tested subjects are grouped as the first-year non-major learners(NM1), the second-year non-major learners(NM2), the first-year major learners(M1) and the second-year major learners(M2). On the basis of the...
This work aims to describe the implementation of a renewable energy based Microgrid test site facility at the University of Genova (Italy) and to depict the advanced functionalities there implemented within the national supported project Smartgen. The developed advanced Distribution Management System (DMS) is based on a Supervisory Control And Data Acquisition (SCADA) system for the remote monitoring...
Safety culture construction has significant impact on fire prevention in oilfield. Reasonable evaluation index system should be set up to evaluate the state and quality of safety culture construction in oilfield enterprise teams while further study should be taken and validated on spot. Framework of safety culture construction in Oilfield enterprise teams was put up. By SMART principle and occupation...
The present study is carried out to predict the area and Rice production of Upper Brahmaputra Valley Zone of Assam using Artificial Neural Network (ANN). Multilayer Perceptron (MLP) with single hidden layer has been trained with the secondary data of the area, Rice production and meteorological data. Area and Rice production data are collected from the Directorate of Economics and Statistics, Directorate...
To strengthen enterprise performance management can effectively improve the competitiveness of enterprises. By analyzing the factors affecting enterprise performance, on the basis of enterprise development, staff satisfaction from three dimensions which are friendly with the social enterprise performance evaluation index and a decision tree evaluation model is established. Applying this model to Zaozhuang...
Taking a Chinese north mining city as an example, through to systematic investigation and statistics for its economic data of 12 industry in recent 4 years, A complete set of index system for estimating economy status has been put forward, which comprises the profit ability, debt paying ability and development foreground of difference industry. The author has developed a set of fuzzy neural network...
On the basis of analyzing the significance of assessing production and operation ability in small and medium enterprise (shorter form SMB), the assessment-index system of production and operation ability for small and medium enterprise is built and assessment model is established using BP neural network. The conjunction weights of the neural network are continuously modified layer by layer from output...
The enterprise may check the crisis in the bud through the risk early-warning, thus enabling the enterprise to achieve the sustainable development. Agricultural enterprise is the foundation of agricultural development. Due to their weakness and the particularity of the production process, the risk of agricultural enterprise is more complex, making the risk early-warning of agricultural enterprise...
In order to promote the development of agricultural modernization, the evaluation of the rural informatization is very significant. By the study of the domestic rural informatization evaluation methods, a new evaluating index system, including 18 indicators, is constructed for Jiangsu province. On the basis of SOM neural network model, which is able to simulate the self-organizing learning without...
Pig industry plays a very important role in adjusting agricultural structure, promoting the optimization of the agricultural resources allocation, improving the people's livelihood and increasing farmers' income. But in recent years, price of pig fluctuates violently. As a result, participants within the pig industry have frequently found themselves facing increased variable and more price risk. Sharp...
In this paper we want to provide a decision-making model for cluster enterprises to select partners. Previous studies are more based on enterprises' capabilities, we studies from a new perspective of credit assessment. First, we established a credit assessment index system of cluster enterprises' partners, it analyzed a candidate enterprise from three parts as strength credibility, honesty credibility...
Customized training model of higher education must be vigorously promoted. A customized training model evaluation system of higher vocational education should be built to help us improve the training model. Therefore, this paper first analyzes the strategic continuum of the customized training model of higher vocational education, and then builds the evaluation index, finally, adopts ANP approach...
Dispatching centers play an important role in safe and stable operation and also have a great importance observing economical usages. Basically stepwise dispatching system is corresponding to electrical network structures and the ministry of power management methods, and also has to be more flexible with future operation methods and able to coordinate with future structure of country power network...
Soft capsule dropping pills product quality control system is a multi-input and multi-output complex system. First of all, the process parameters and a two-level hierarchy index system of soft capsule pills product quality were proposed based on the analysis to the production process. Then the model was established based on least squares support vector machine (LSSVM), whose inputs are the process...
Based on the essence and characteristic of university science research capability (USRC) and the highly self-organized, self-adapted and self-learned characteristics of back propagation (BP) neural network, the paper conducts a research on evaluation of USRC, in which an evaluation index system of USRC is constructed and a BP neural network model with three tiers is presented to evaluate USRC, which...
When the development of an oil field comes into the middle and later stage, it is difficult to grasp the dynamic law due to continuous rising of water cut. A key to realize the optimal control of the whole process of oil development is to realize the accurate forecast of development indexes. This paper mainly investigates the application of data mining methods in development indexes forecast of an...
This paper firstly elaborates the technological innovation and the characteristics of risks of Chinese small & medium-sized enterprises (SMEs) , then analyzes the risk factors of SMEs' technological innovation, on the basis of which the index system of risk evaluation is constructed. Then, incorporating the BP neural network, it proposes the risk evaluation model based on fuzzy neural network...
The priority of buyer order is a key issue in production scheduling in MTO (make to order) enterprises. In view of the deficiencies in current studies related to the assessment of the priority, a new emerging method for determining the priority in supply chain based on radial basis function (RBF) neural network is put forward which considers the constraint in supply chain and the complicated relation...
It is necessary to analyze the anti-terrorism performance of Taiwanpsilas security system after September 11, 2001 attacks. We use three stage data envelopment analysis model that Fried et al. (2002) developed, getting intelligence performance of the Investigation Bureau of the Ministry of Justice, to discuss the ability of anti-terrorism in Taiwanpsilas national security system. Putting 10 outputs,...
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