An Enhancement over Texture Feature Based Multiclass Image Classification Under Unknown Noise

In this paper we deal with classification of multiclass images using statistical texture features with two approaches. One with statistical texture feature extraction of the whole image, another with feature extraction of image blocks. This paper presents an experimental assessment of classifier in terms of classification accuracy under different constraints

Intelligent Continuous Double Auction Method for Service Allocation in Cloud Computing

Market-oriented approach is an effective method for resource management because of its regulation of supply and demand and is suitable for cloud environment where the computing resources, either software or hardware, are virtualized and allocated as services from providers to users. In this paper a continuous double auction method for

Isomorphism Between Estes’ Stimulus Fluctuation Model and a Physical- Chemical System

Although Estes’ Stimulus Sampling Theory has almost completely lost its influence, its theoretical framework has not been disproved. Particularly, one theory in that framework, Stimulus Fluctuation Model, is still important because it explains spontaneous recovery. In this short note, the process of the theory is shown to be isomorphic to

High Performance Data Mining by Genetic Neural Network

Data mining in computer science is the process of discovering interesting and useful patterns and relationships in large volumes of data. Most methods for mining problems is based on artificial intelligence algorithms. Neural network optimization based on three basic parameters topology, weights and the learning rate is a powerful method.

Evolving Spiking Neural Networks for Control of Artificial Creatures

To understand and analysis behavior of complicated and intelligent organisms, scientists apply bio-inspired concepts including evolution and learning to mathematical models and analyses. Researchers utilize these perceptions in different applications, searching for improved methods and approaches for modern computational systems. This paper presents a genetic algorithm based evolution framework in

On the Idea of a New Artificial Intelligence Based Optimization Algorithm Inspired from the Nature of Vortex

In this paper, the idea of a new artificial intelligence based optimization algorithm, which is inspired from the nature of vortex, has been provided briefly. As also a bio-inspired computation algorithm, the idea is generally focused on a typical vortex flow / behavior in nature and inspires from some dynamics that are occurred

Controversies About the Introduction of Non-Classical Logics

Logic is a set of well-formed formulae, along with an inference relation. But the Classical Logic is bivalent; for this reason, very limited to solve problems with uncertainty on the data. It is well-known that Artificial Intelligence requires Logic. Because its Classical version shows too many insufficiencies, it is very necessary to introduce

Electrophysiological Neuroimaging Using Sloreta Comparing 12 Anorexia Nervosa Patients to 12 Controls

Anorexia Nervosa (AN) is characterized by Diagnostic and Statistical Manual of Mental Disorders Volume 4 (DSM IV), as one’s refusal to maintain a body weight that is above the calculated limit, which is determined by an algorithm involving one’s height and weight. As more emphasis in society is placed on one’s body