The classification of remotely sensed multispectral data using classical statistical methods has been worked on for several decades. Recently there have been many new developments in neural network (NN) research, and ...
详细信息
An ensemble of neural networks with competitive learning and consensus schemes is proposed. Conventional learning methods utilize all the dimensions of the original input patterns. However, a particular attribute of t...
详细信息
A simple algorithm for establishing the presence of points common to some singularity (hyper)surfaces associated to covariance matrices is developed. It allows, on the basis of the new algebraic and geometric properti...
详细信息
A simple algorithm for establishing the presence of points common to some singularity (hyper)surfaces associated to covariance matrices is developed. It allows, on the basis of the new algebraic and geometric properties recently given by Guidorzi (1994), the computation of the maximal number of linear relations that can be associated to a given set of data.
Most speech recognition systems are unable to cope with data from high-resolution pre-processors (such as auditory models and high-resolution spectral estimates) for two reasons. One is due to the inappropriateness of...
详细信息
Most speech recognition systems are unable to cope with data from high-resolution pre-processors (such as auditory models and high-resolution spectral estimates) for two reasons. One is due to the inappropriateness of measures related to the Euclidean distance. The other is somewhat less obvious, but is due to the non-ergodic nature of short-term parameterisations of speech sounds. This aspect of speech variability is addressed. The authors show how a linear, but nonstationary, vector predictor, based on the concept of 'acoustic flow', can be used to estimate the redundancy in speech data, paving the way for an improvement in recognition performance.< >
This paper reviews progress in developing a mathematical framework to evaluate the performance of mobile radio links. It takes into account multi-ray multipath fading with Rician or Nakagami probability density, logno...
详细信息
In this paper, a combined method of change detection and failure decision is proposed for the system under the adaptive control based on the self-tuning regulator. The controlled system is assumed encounter unexpected...
详细信息
In this paper, a combined method of change detection and failure decision is proposed for the system under the adaptive control based on the self-tuning regulator. The controlled system is assumed encounter unexpected parameter changes, which may be caused by a failure or a normal operation. Such a system change can effectively be detected by using Fullback Discrimination Information (KDI) as an index for model discrimination. In order to decide whether the detected system change is caused by a failure or not, a neural network approach to failure decision is introduced. Based on the knowledge about failure modes and system operations, the regulator parameter variations after the change detection are used as training data for the network learning. In this way an on-line monitoring scheme of adaptively controlled systems can be established. Simulation studies of a second-order damped oscillator have been earned out to demonstrate the effectiveness of the method.
In this paper, a quick identification method based on the short time record of input-output data is introduced for joint state and parameter estimation of nonlinear continuous-time systems. The method can then be used...
详细信息
In this paper, a quick identification method based on the short time record of input-output data is introduced for joint state and parameter estimation of nonlinear continuous-time systems. The method can then be used for on-line monitoring the system with unknown parameters. An application way of the method to main-steam temperature control of a thermal power plant are developed in the framework of model reference adaptive control system (MRACS). Simulation studies on a super-heater model have been carried out to demonstrate the effectiveness of the proposed method.
Describes an experimental implementation of a multivariable adaptive control to the regulation of temperatures in an industrial multizone reheating furnace operating in a tube drawing plant at Podbrezova (middle Slova...
Describes an experimental implementation of a multivariable adaptive control to the regulation of temperatures in an industrial multizone reheating furnace operating in a tube drawing plant at Podbrezova (middle Slovakia). The motivation for the experiments was to test the practical possibilities of the adaptive control algorithms in the reduction of fuel consumption in comparison to existing digital PID control of the furnace temperatures.
In this paper, the problem of implementing the Miller-Davison (1989) self-tuning integral robust servomechanism for the case of constant references and disturbances is considered and examined using an experimental mul...
详细信息
In this paper, the problem of implementing the Miller-Davison (1989) self-tuning integral robust servomechanism for the case of constant references and disturbances is considered and examined using an experimental multi-input multi-output apparatus; cases involving both known and unknown estimates of the steady state gain matrix T are considered. In order to improve the speed of response, proportional feedback has been added in both instances, and this has yielded a superior transient response.
暂无评论