Performance Analysis of Stock Prediction by PLANN Techniques

Abstract

This performance analysis advances in choosing modeling which includes optimization of product model, inverse model , fault detection ,fault diagnostics and modeling optimization of engineering sciences and technologies.This study provides a modeling and optimization of human conscientiousness environment by renewable energy saving.  The energy savings is done by optimizing the future stock price detection and diagnostics.  The analysis leads to innovative energy savings in stock market.  The stock market price prediction is necessary for getting profit and investment. The stock market is affected by various attributes like economic, political and human. Even though, many intelligent networks are available to predict the price, there is a need for new prediction technique to optimize the stock index price and make green engineering technology solution in stock price. Artificial Neural Network(ANN) helps the better prediction to forecast the closing stock price. This study use the neural network model to train and forecast the stock market price in order to help the investors to choose better time for buying or selling the stock.