Chaotic time series. Part II. System Identification and Prediction

The study was conducted with the use of combinied modes 1 and 2: four computing agents were used, the upper limit of models number can be calculated by use of equation

We ran through all eight markets' stock index data using out myopic KAII neural network and we got different results from different markets. Most of the

To characterize the neutral solution spaces, we propose a Monte Carlo (MC) random walk process [33], which is sped up by a nonlinear optimization algorithm that allows us to

Based on these analyses, rep- resentative images from the time series were selected to ex- press land surface functionality in terms of binary words and to classify land surface

The T imeSeries M odel uses the same input as AdvancedStatEnv M odel to be the first 15 nodes of input vector and use the collected data in the past one year of player which are

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Time-series analysis is characterized, as a data mining tool which facilitates understanding nature of manufacturing processes and permits prediction of future values of the

Revista Científica Eletrônica de Medicina Veterinária é uma publicação semestral da Faculdade de Medicina veterinária e Zootecnia de Garça – FAMED/FAEF e Editora FAEF,