[PDF] Top 20 A Somalilândia e o desenvolvimento autônomo do Estado: um estudo de caso

... the model performance during the training and testing ...fitted model also does not vary as ...developed model. In addition, it is observed that Case 3 model has the least values of MSE as ... See full document

... systems using either feed-forward or recurrent neural ...the network either online or off- ...Typical neural networks used for identification purposes are multilayer feed-forward structures ... See full document

... Soil system is fundamental to the growth of living things, and water is one of the most important components of plant ...of water available rather than the deficiency of other food ...the water ... See full document

... management quality index of water ...produce water quality classification based on parameters DO, BOD, and ...problems. Artificial neural networks are used to obtain the ... See full document

... the artificial neural ...forward neural networks were developed and the performance of the developed models was ...forward neural network gave accurate results and the average value of ... See full document

... As the voltage, current and temperature have a big impact on the battery SOC. at the same time can be easily obtained directly through the sensor, and that the battery voltage and current have a little relevance with ... See full document

... Several studies compared the method used in the field of medicolegal prognosis to get the better determination model. The experience of doctor still influenced for the cases of abuse with bruises or abrasions on ... See full document

... Wei-Ta Chu et al. [5] claimed to “estimate weather information from single images by constructing computational models using random forest classifiers. The principle focus was to build a large scale image ... See full document

... Air pollution is an important issue nowadays, being a factor which influences both human health and activities. There are many different chemical substances that contribute to it. These chemicals come from a variety of ... See full document

... MLP model in terms of correlation coefficient (R) for training, validation and testing processes as well as the overall ...The model outputs (predicted HDZ) are plotted against the targets (measured ...MLP ... See full document

... The development of chaotic science has aroused the interest of various disciplines, but as scientific terms, chaos has not been universally recognized as the definition. Lorenz, known as the "father of chaos," ... See full document

... Non-revenue water (NRW) includes physical (leaks) and commercial losses (illegal con- nections, unmetered public use, meter error, unbilled metered water and water for which payment is not collected) ... See full document

... Artificial neural networks (ANNs) are one of the machine learning methods used in many scientific fields ...A neural network is able to learn patterns from data, which allows it to map complex ... See full document

... The quality of a water body is usually characterized biological, chemical, and physical characteristics of water in connection with intended use(s) and a set of standards [4], ...Therefore, ... See full document

... the water quality of river ganga, not only for management of water resources, but also for the prevention of water pollution, the water quality forecast has a more practical ... See full document

... an artificial neural network (ANN) application of load frequency control (LFC) of a Multi-Area power system by using a neural network controller is ...proposed ... See full document

... proposed system is shown in Figure 3. The system consists of radial distribution model, control devices, switching devices, power analyzers, and microcontroller ...The system is subjected to ... See full document

... III. POWER GENERATION FORECASTING Wind turbines and photovoltaic panels are typical microsources in the microgrids, which have been feasibly installed. The wind and solar energy are weather driven resources, where their ... See full document

... water quality parameters except BOD and COD were taken as input parameters and the BOD and COD were taken as output ...trained using tangent sigmoid transfer function, back propagation and number of ... See full document

... process. Artificial Neural Network (ANN) is a technique that is heavily researched and widely used in stock market prediction ...optimal neural network for prediction purpose in the ... See full document