Data Analysis with R

Neural Network – IRIS data Classification Model by Dr. Arunachalam Rajagopal Artificial Neural Network (ANN): A typical artificial neural network is shown in Figure 1. ANN is a sub-domain of artificial intelligence, AI. ANNs attempt to imitate the behaviour of human brain for problem solving by creating an abstract model. ANN models which are basically non-linear in nature could abstract and represent any non-linear function. Activation function: introduces the non-linear characteristics into the neural network. The activation function is selected based on the type of data to be modeled.   The often used activation functions are: Rectified Linear Unit (ReLu) Logistic function Hyperbolic tangent (tanh) Figure 1 Artificial Neural Network Example Demo: Neural Network The iris data set has been made use of for demonstrating the development of neural network classification model. The Figure 2 shows the three flowers in the iris family which are Setosa, V

Technical Analysis using R Dr.Arunachalam Rajagopal Ph.D., Former Professor and HOD 1.1 Fundamental Analysis & Technical Analysis - Introduction Analysts and investors make use of stock analysis for decision making on whether to buy or sell a stock. The investors and traders analyse the past and current data on the price and other performance indices of a firm to take a decision on trading a particular company's stock. Investors and analysts make use of two types of analysis with respect to stock trading:             1. Fundamental analysis             2. Technical analysis Fundamental analysis attempts to evaluate the intrinsic value of a stock. While technical analysis focuses on price movements, trading signals, and other charts for taking decision to buy or sell a stock. 1.2 Technical analysis tools The often used technical tools for buy & sell decisions by investors are: 1. Simple Moving Average (SMA) 2. Exponential Moving Average (EMA) 3