Using artificial neural Networks (ANN) Abstract According to Dr Kennedy D. Gunawardene in 2009 The Artificial neural network is a collection of simple processors connected together and Each processor can only perform a very straight forward mathematical task, but large network of them has much greater capabilities and can do many things which one of its own can’t. The aim of this study is to find a model for forecasting gold prices in Sri Lanka by using artificial neural network.
Data were collected from the market information during the period of January to February of 2006 and this experiment shows a sufficient prediction method in gold prices forecasting. Introduction In recent years, the gold prices of Sri Lanka have been changed in considerable amounts. It shows some times gold prices increase and sometimes gold prices decrease. Because of that, the future fluctuations in gold prices in Sri Lanka are helpful to investors, businesses and general community.
Gold is not being madding by Sri Lanka. This product is being imported from the other countries. So, many factors affect to gold prices in Sri Lanka. In this study, the gold price of one ounce of 24 karat is considered. Based Research Papers In this study I based the research “A Neural Network Model for Gold Market” by Peter J. MaCann and Barry L. Kalman in department of computer science of Washington University. In this research artificial neural network has been used and ten inputs have been used.
The Essay on Gold Price Fluctuation
The topic is selected for the project is the Gold price fluctuations and gold as a investment. I selected this topic because of the change in the price of gold and people’s interest in investing in gold as an investment. This topic is selected due to the fluctuating nature of gold and changing trend of gold price. Nowadays people tend to invest their money in gold so as they can increase their ...
They are standards and poor 500 index, dollar index, bond index, bond yields, sterling currency index and gold mining index. And in this research five hidden layers have been used. There were two output variables as sell or buy. This based research has found there is a significant relationship between above inputs and prices of gold. The buying decision and selling decisions regarding the gold can be made by using this artificial neural network without any further experts. Developing the Forecasting Model using ANN In this study I have collected input data by using various websites.
The US dollar rates to Sri Lankan rupees, the Sterling pound rate to Sri Lankan rupees, SLIBOR rate calculated by Central Bank of Sri Lanka and the Treasury bill rate of Sri Lanka are used as input variables of this study. Two hidden layers are used in this study and while first hidden layer have five neurons, second hidden layer have six neurons. The transfer function of both hidden layers is sigmoid function. In this study contains two outputs as 1 and 0. The one refers the increases in gold price comparing to previous day and the zero refers the decrease in gold price comparing to previous day.
The RMS training error of study is 0. 4188 and the RMS testing error is 0. 4040. In this study, I have done different runs. Findings This model shows 60% accuracy for forecasting the gold price of Sri Lanka from 10 records. According to that three is a considerable relationship between the fluctuations of gold prices of Sri Lanka and the dollar rate, the sterling pound rate SLIBOR and Treasury bill rate. This artificial neural network model can be used to predict gold prices of Sri Lanka to some extent with the other relevant information related to the gold price of Sri Lanka.
The Coursework on House Prices Interest Rate
Economics Coursework: The Price Mechanism Introduction I have been asked to investigate a question similar to What determines the price of a particular good or product. I have chosen to answer the question, What determines the price of houses have also come up with a hypothesis related to my question, later in my investigation I will either prove or disprove this theory. My hypothesis is, House ...
References 1. Gunawardana, K. D. (2009) ? An Introduction to Artificial Neural Networks for Accounting and Finance Modeling”, Piyasiri Printing System (pvt) Ltd, Nugegoda, Sri Lanka. 2. Mccann P. J. and Kalman B. L. no date, “A Neural Network Model for Gold Market” available on citeseerx. ist. psu. edu/viewdoc/download? doi… 1… – United States, accessed on 12th November 2012. 3. http://www. goldworldprice. com/Gold-Price-Sri-Lanka. html, accessed on 25th January 2013 4. http://www. cbsl. gov. lk/ accessed on 25th January 2013
