To hear more natural synthetic speech generated by a Korean TTS (Text-To-Speech) system, we have to know all the possible prosodic rules in Korean language. We can extract these rules from linguistic, phonetic knowledge or by analyzing real speech. In general, all of these rules are integrated into a prosody-generation algorithm in TTS. But this algorithm cannot cover all the possible prosodic ...

Some of the algorithms developed within the artificial neural-networks tradition can be easily adopted to wireless sensor network platforms and will meet the requirements for sensor networks like: simple parallel distributed computation, distributed storage, data robustness and autoclassification of sensor readings. As a result of the dimensionality reduction obtained simply from the outputs of...

Evaluating the performance of artificial neural networks (ANNs) for predicting physical, rheological, and colorimetric properties chitosan nanoparticles (CSNPs)

abstract infiltration is a significant process which controls the fate of water in the hydrologic cycle. the direct measurement of infiltration is time consuming, expensive and often impractical because of the large spatial and temporal variability. artificial neural networks (anns) are used as an indirect method to predict the hydrological processes. the objective of this study was to develop ...

Introduction: Automatic mognition of handwritten characters and natural patterns has been one of the most difficult problems in artificial intelligence. Artificial neural networks (ANNs) constitute an important class of computational models for handling this class of problems. Many neural techniques have been proposed to solve this problem, such as those in [l 41. We propose an eficient way of ...

Curie-point pyrolysis mass spectra were obtained from reference Propionibacterium strains and canine isolates. Artificial neural networks (ANNs) were trained by supervised learning (with the back-propagation algorithm) to recognize these strains from their pyrolysis mass spectra; all the strains isolated from dogs were identified as human wild type P. acnes. This is an important nosological dis...

Evapotranspiration (ET) is one of the major components of hydrologic cycle. Accurate estimation of this parameter is essential for studies such as water balance, irrigation system design and management, and water resources management. Generally we used climate data for calculating evapotranspiration from indirect methods. This study investigates the utility of artificial neural networks (ANNs) ...

In this paper we consider the use of Artificial Neural Networks (ANNs) in decision support in anticoagulation drug therapy. In this problem domain ANNs can be used to learn the prescribing behaviour of expert physicians or alternatively to learn the outcomes associated with such decisions. Both these possibilities are evaluated and we show how, through the prediction of outcomes that the prescr...

Production of highly viscous tar sand bitumen using Steam Assisted Gravity Drainage (SAGD) with a pair of horizontal wells has advantages over conventional steam flooding. This paper explores the use of Artificial Neural Networks (ANNs) as an alternative to the traditional SAGD simulation approach. Feed forward, multi-layered neural network meta-models are trained through the Back-Error-Propaga...