Artificial Neural Network

The Global Journal Technology and optimization (GJTO), is a most-cited journal focusing on Artificial Neural Network. It is intended that the journal should act as an interdisciplinary forum for science and its Technology. Innovative applications and material that brings together diverse areas of sciences are particularly welcome. Audience: Physicists, Statisticians, Economists, Computer scientists, Biologists, Pure mathematicians, Applied mathematician. Artificial Neural Network’s are suitable for approxi-mating functions that compute new acoustic parameters, whereas HMM’s have been proven successful at modeling the temporal structure of the speech signal. In the approach described here, the ANN outputs constitute the sequence of observation vectors for the HMM. An algorithm is proposed for global optimization of all the parameters. OMICS Group has been instrumental in taking the knowledge on Science & technology to the doorsteps of ordinary men and women. Research Scholars, Students, Libraries, Educational Institutions, Research centers and the industry are main stakeholders that benefitted greatly from this knowledge dissemination.