Classification of Rice Varieties Using Artificial Intelligence Methods

Text Classification using Artificial Intelligence

Text classification is the process of classifying documents into predefined categories based on their content. It is the automated assignment of natural language texts to predefined categories. Text classification is the primary requirement of text retrieval systems, which retrieve texts in response to a user query, and text understanding systems, which transform text in some way such as produc...

Classification of Rice Grain Varieties Using Two Artificial Neural Networks (mlp and Neuro-fuzzy)

Artificial neural networks (ANNs) have many applications in various scientific areas such as identification, prediction and image processing. This research was done at the Islamic Azad University, Shahr-e-Rey Branch, during 2011 for classification of 5 main rice grain varieties grown in different environments in Iran. Classification was made in terms of 24 color features, 11 morphological featu...

Prediction Based Diagnosis Using Artificial Intelligence Methods

Analysis and classification of the pathological speech using artificial intelligence methods

In the present work we introduce a new approach to pathological speech processing methods and recognition of various speech pathologies. We no longer attempt to recognise forms of pathological speech deformations, because it is impossible to show any compact template of a normal speech signal (as reference) and it is also impossible to show a standard form of any deformation. The presented conc...

Artificial Intelligence Methods for Ambient Intelligence

Ambient Intelligence (ISTAG (2001) Scenarios for Ambient Intelligence in 2010) is a vision that enables intelligent environments with pervasive technology. In this vision human users are at the cent re, but machine and human are seen as equal, collaborating, to improve both human being and machine performance. Ambient Intelligence offers many benefits. For example, by inst rumenting public and ...