Measuring the size of global logistics expenditure is a difficult task. What is an estimate of logistics expenditures for the global economy? The objective of this research is to answer this question. Using neural networks, an artificial intelligence methodology, logistics expenditures have been est
Estimation and generation of articulatory motion using neural networks
โ Scribed by Katsuhiko Shirai
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 457 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0167-6393
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In the food production industry, estimation of protein content in various forms of products is a continual process where the estimated values are required for documentation as well as testing purposes. Chromatographs and infrared spectrometers are used to physically obtain the protein spectra from t
## Abstract An optical fiber (OF) sensor with enhanced dynamic range and high sensitivity is realized to detect varying range of relative humidity (RH). For precise and independent estimation/prediction of RH from its nonlinear response, feed forward artificial neural network (ANN) model is develop
Inferential estimation of polymer quality in a batch polymerisation reactor using bootstrap aggregated neural networks is studied in this paper. Number average molecular weight and weight average molecular weight are estimated from the on-line measurements of reactor temperature, jacket inlet and ou
This paper describes a phoneme boundary estimation method based on bidirectional recurrent neural networks (BRNNs). Experimental results showed that the proposed method could estimate segment boundaries significantly better than an HMM or a multilayer perceptron-based method. Furthermore, we incorpo