Information gain-based modular fuzzy neural network to forecast rainstorms

The Use of Fuzzy, Neural Network, and Adaptive Neuro-Fuzzy Inference System (ANFIS) to Rank Financial Information Transparency

Ranking of a company's financial information is one of the most important tools for identifying strengths and weaknesses and identifying opportunities and threats outside the company. In this study, it is attempted to examine the financial statements of companies to rank and explain the transparency of financial information of 198 companies during 2009-2017 using artificial intelligence and neu...

A Comparison Between Time Series, Exponential Smoothing, and Neural Network Methods To Forecast GDP of Iran

Artificial Neural Network-based Distribution Substation and Feeder Load Forecast

Artificial Neural Networks (ANNs) have been successfully applied to the problem of forecasting future load values, especially in the short term framework (a few minutes to a few hours ahead). Traditional analytical models have shown difficulties when dealing with (i) the highly variable demand curve shapes, (ii) some independent variables that exhibit random behaviour, and (iii) the identificat...

A hybrid model based on adaptive-network-based fuzzy inference system to forecast Taiwan stock market

In recent years, many academy researchers have proposed several forecasting models based on technical analysis to predict models such as Engle (1982) and Cheng, Chen, and Wei (2010). After reviewing the literature, two major drawbacks are found in past models: (1) the forecasting models based on artificial intelligence algorithms (AI), such as neural networks (NN) and genetic algorithms (GAs), ...

Modular PCA Based Fuzzy Neural Network Approach for Illumination and Expression invariant 3D Face recognition

In this paper a Modular PCA based fuzzy neural network approach for face recognition is proposed. The proposed technique improves the efficiency of face recognition; it performs well under varying illumination and expression conditions and its performance is better as compared to the traditional PCA methods. In this method the face image is divided into three horizontal strips thus the face ima...