The Poultry Meat Production Technical Efficiency Analysis Model Based on Intelligent Devices

2015 ◽  
Vol 713-715 ◽  
pp. 2181-2184
Author(s):  
Xiang Jie Niu ◽  
Hua Li
Keyword(s):  
Neural Network ◽  
Production Efficiency ◽  
Rbf Neural Network ◽  
Efficiency Analysis ◽  
Poultry Meat ◽  
Meat Production ◽  
Analysis Method ◽  
Analysis Model ◽  
Neural Network Algorithm ◽  
Intelligent Devices

The paper focuses on the poultry meat production efficiency analysis methods. In the poultry meat production procedure, the randomness is strong due to the various complex factors in the poultry meat production which will reduce the production efficiency. In order to avoid the defects of the traditional algorithms, the paper proposes the poultry meat production efficiency analysis method based on RBF neural network algorithm. The effect factors in the poultry meat production will be sifted as the basic data for production efficiency analysis. The RBF neural network model is built and the output results are used to analyze the poultry meat production efficiency with intelligent devices. The experiment results illustrate the improved algorithm can increase the poultry meat production efficiency.

scholarly journals Analysis of Production Efficiency Broiler Chicken Farm on Pattern Partnership of Contract Farming in Kampar District

2020 ◽  
Vol 3 (1) ◽  
pp. 60-70
Author(s):  
Elsyintia Dwi Putri ◽  
Cepriadi Cepriadi ◽  
Fajar Restuhadi
Keyword(s):  
Analytical Method ◽  
Broiler Chicken ◽  
Production Efficiency ◽  
Efficiency Analysis ◽  
Production Costs ◽  
Analysis Method ◽  
Contract Farming ◽  
Maximum Profit ◽  
Chicken Farm ◽  
Dea Method

Chicken broiler is the main commodities  and largest in Indonesia, where Kampar district into production centre in the province of Riau. According to the company's partners, breeder who partnered with the pattern contract farming hasn't been able to combine the use of livestock production facilities as well as labor. This resulted in not maximizing the profits obtained by breeders. The purpose of the research was to analyze broiler chicken farming and analyze the efficiency of broiler chicken production. Analytical method used is the analysis method of broiler chicken flocks and the DEA method. Respondents needed is 40 farmers who have partnered with the contract farming pattern. The results showed that the production costs of Rp.180.031.229 /period, revenue Rp.203.573.865/period, so that the profit amounting to Rp 23.542.636/period with R/C ratio of 1.13. The results of the efficiency analysis show that inefficient farmers are more numerous than those who have been efficient. It showed breeders hasn't been able to use the minimum input produce output that is optimal and maximum profit.

scholarly journals ANALYSIS OF THE LOCATION OF NANNING LARGE-SCALE MALL BASED ON BP NEURAL NETWORK

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 975-979
Author(s):  
H. Huang ◽  
L. L. Liu
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Site Selection ◽  
Large Scale ◽  
Machine Learning Algorithms ◽  
Training Data ◽  
Location Analysis ◽  
Analysis Model ◽  
Reference Information ◽  
Neural Network Algorithm

Abstract. Site selection is a key first step in the operation of large-scale shopping malls, and most of the existing site selection methods lack practicality and efficiency. Therefore, it is necessary to carry out a scientific modeling of the site selection problem and provide effective reference information for site selection. With the development of machine learning algorithms, the modeling of such problems becomes more and more simple. In this paper, using matlab software as a tool, based on BP neural network algorithm, Nanning urban area is selected as the research object. After analyzing the influencing factors of location problem, the large-scale mall location analysis modeling is carried out. After repeated training and testing of the training data and the test data, the data for testing the usability is input into the model and applied for analysis. It turns out that the large-scale mall location analysis model is usable and can meet the site selection needs of the mall.

scholarly journals Features of the functioning of the poultrymeat market

2021 ◽  
pp. 76-84
Author(s):  
N. Kopytets ◽  
V. Voloshyn
Keyword(s):  
Production Efficiency ◽  
Supply And Demand ◽  
Domestic Demand ◽  
Poultry Meat ◽  
Meat Production ◽  
Poultry Production ◽  
Agricultural Enterprises ◽  
Domestic Poultry ◽  
Production Trend ◽  
Further Development

The state of the poultry market and highlights the peculiarities of its functioning has been researchedin the article.The poultry market as competitive and efficient with other meat marketshas been identified.And the poultry industry has maintained a positive production trend in recent years. In Ukraine, the poultry population is growing from year to year. In nineteen years, the number of poultry in agricultural enterprises has increased more than five times. A feature of the poultry market is the concentration of poultry and meat production in agricultural enterprises. More than 85percent of the poultry meat production in the slaughter mass was provided by agricultural enterprises. Most poultry meat was produced in Vinnytsia, Kyiv, Cherkasy, Dnipropetrovsk and Lviv regions. It is substantiated that the increase in poultry meat production is primarily due to the growth of demand from the population in conditions of low purchasing power. Poultry meat remains the most affordable for most meat consumers. In addition, due to a significant reduction in the supply of other types of meat, and consequently rising prices for them, poultry has become a substitute for most meat consumers. At the same time, many consumers have changed their tastes and preferences for a particular type of meat in favor of dietary poultry meat. The balances of supply and demand of poultry meat were analyzed. It has been proven that domestic poultry production fully meets domestic demand and has reserves to increase exports. It is noted that the further development of the domestic poultry market will depend, first of all, on solving the crisis problems in the world. In addition, indicators of production efficiency and product competitiveness will have a significant impact. Keywords: market, poultry meat, production, supply, demand, consumption, price.

scholarly journals Early Warning System of Tennis Sports Injury Risk Based on Mobile Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yupeng Li ◽  
Kitak Kim ◽  
Yu Ding
Keyword(s):  
Neural Network ◽  
Early Warning ◽  
Early Warning System ◽  
Injury Risk ◽  
Sports Injuries ◽  
Rbf Neural Network ◽  
Warning System ◽  
Sports Injury ◽  
Analysis Method ◽  
Tennis Players

In recent years, sports injuries in professional tennis players have gradually increased and sports injuries will break the sports training system and affect the long-term growth of new tennis players. Avoiding athlete injuries has become an important factor in improving training quality and game performance and ensuring the sustainable development of young tennis players’ competitiveness. Therefore, this article will use the RBF neural network algorithm and cluster analysis method to establish a tennis sports injury risk early warning model and finally establish a tennis sports injury risk early warning system so that tennis players can reduce their injuries. In this article, we use the questionnaire survey method, expert interview method, mathematical statistics method, and logical analysis method to investigate and analyze the results of training injuries of Chinese tennis players and coaches. The experimental results in this article show that among 48 tennis players of different ages, who are participating in formal training and tennis competitions, 15 young tennis players have been injured more than 6 times, accounting for 31.2% of the total; 20 have been injured 3 to 6 times, accounting for 41.7% of the total; 9 of them have been injured several times, accounting for 18.8% of the total; and 4 have been injured, accounting for 8.3% of the total. After using the tennis sports injury risk warning system based on the algorithm of RBF neural network in mobile computing, the tennis sports injury rate has dropped to 5%. It can be seen that the system has high feasibility and practicability.

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