Based on the Data Curve Fitting Field Events Forecast Application in Research Achievements
نویسنده
چکیده
Today's overall grasp and prediction of the trend changes in sports scores, led this study to carry out the discussion that the athletes’ obtaining reasonable suggestion is particularly important to fundamentally improve the comprehensive quality of track and field athletes performance. The Olympic Games is the big games, and the ‘stand or fall’ of achievements is the only measure of players performance. This study used Chinese sports yearbook collection of 28 sessions of four major jumping events of track and field events, respectively for the high jump, long jump, triple jump, pole vault and other 28 Olympic Games track and field sports performance analysis of the results using the least squares curve regression. A change curve is drawn, so as to describe the performance change trend, and forecast the coming Olympic Games performance. The regression curve is a simple and feasible way to forecast results.
منابع مشابه
Forecasting of Covid-19 cases based on prediction using artificial neural network curve fitting technique
Artificial neural network is considered one of the most efficient methods in processing huge data sets that can be analyzed computationally to reveal patterns, trends, prediction, forecasting etc. It has a great prospective in engineering as well as in medical applications. The present work employs artificial neural network-based curve fitting techniques in prediction and forecasting of the Cov...
متن کاملThe Water Quality Predicition Based on the Gray Model and Curve Fitting ⋆
Water quality prediction can be applied to guard against all kinds of emergency events and provide decision support to the relevant departments. Many water quality prediction methods have supplied, such as time series analysis method, fuzzy algorithm, artificial neural network, wavelet analysis. Time series analysis method is suitable for the changing apparent data sequence, the predicted data ...
متن کاملFitting of Count Time Series Models on the Number of Patients Referred to Addiction Treatment Centers in Semnan County
Abstract. Count data over time are observed in many application areas. Many researchers use time series patterns to analyze this data. In this paper, the poisson count time series linear models and negative binomials on this type of data with the explanatory variables are studied. The Likelihood analysis and the evaluation of count time series model based on generalized linear models are pres...
متن کاملAn Application of Discounted Residual Income for Capital Assets Pricing by Method Curve Fitting with Sinusoidal Functions
The basic model for valuation of firm is the Dividend Discount Model (DDM). When investors buy stocks, they expect to receive two types of cash flow: dividend in the period during which the stock is owned, and the expected sales price at the end of the period. In the extreme example, the investor keeps the stock until the company is liquidated; in such a case, the liquidating dividend becomes t...
متن کاملAn application of genetic programming for power system planning and operation
This work incorporates the identification of model in functional form using curve fitting and genetic programming technique which can forecast present and future load requirement. Approximating an unknown function with sample data is an important practical problem. In order to forecast an unknown function using a finite set of sample data, a function is constructed to fit sample data points. Th...
متن کامل