The Global Journal Technology and optimization (GJTO), is a best scholory journal focusing on Artificial Neural Network. The journal provides relevant theoretical frameworks and the latest empirical research findings in the areas of electrical power engineering, control systems, and hybrid intelligent optimization.
Artificial Neural Networks are relatively crude electronic models based on the neural structure of the brain. The brain basically learns from experience. It is natural proof that some problems that are beyond the scope of current computers are indeed solvable by small energy efficient packages. This brain modeling also promises a less technical way to develop machine solutions. This new approach to computing also provides a more graceful degradation during system overload than its more traditional counterparts.
OMICS Group is built upon the principles of Open Access and is determined to provide free and unrestricted access of research articles to scientists around the world for the advancement of science and technology. OMICS International journals have over 15 million readers and the fame and success of the same can be attributed to the strong editorial board which contains over 50,000+ editorial board members that ensure a rapid, quality and quick review process.
Last date updated on June, 2014