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In this study, we try to find a method to investigate the relationship between stair's slope and ascent/descent gaits in stairs. With the method, we can speculate the stair slope of a particular stair from a subject's gait so that we can use it to be an initial parameter for estimating the vertical distance the subject has climbed. In this way, this study could provide a practical method to realize...
Query response time prediction is an important and challenging problem in database systems. Especially for applications which handle large amounts of data or where time loss and deadlocks are hardly tolerated, it is very useful to predict the query response times before actual execution. This paper aims to predict query response times automatically using neural network-based approaches, and compares...
Many researches have done to develop speech recognition systems in the past decades. However, their performance in speaker variabilities lags behind that of human recognition system. In order to solve this problem, speaker adaptation methods have proposed. These methods adapt either the acoustic model parameters or the input features of the speech recognition systems to improve their performance....
In this paper we propose a neural net based characters recognition scheme for Bangla printed text books. There are a lot of scientific literature, novels, magazines and books etc that are written in Bangla language. More than 400 million people use Bangla language. Most of the library and educational institutions want to keep copy of the books in a digital format. For storing those books in digital...
Handwritten Bangla digit recognition is one of the most attractive area for researchers who have interest in image processing and pattern recognition field. In our everyday activities like bank check identification, passport and document analysis, number plate identification and especially in our postal automation service, recognition of handwritten digits plays a significant role. That's why a rich...
License plate detection and character recognition have unveiled new possibilities and challenges in the field of intelligent transport system. Numerous algorithms have been proposed regarding license plate localization and tracking, character segmentation and character recognition. License plate character recognition is still an active area of research specially in terms of processing complexity....
In this paper, a new methodology is presented for contour line generalization. The methodology is based on the combination of artificial neural network, decision tree and classification & regression tree algorithms into an auction schema where the “best” parameter for contour line generalization is selected. The contour lines are generalized using a tension parameter locally adapted to a selection...
Ensemble learning is inspired by the human group decision making process, and it has been found beneficial in various application domains. Decision tree and artificial neural network are two popular types of classification algorithms often used to construct classic ensembles. Recently, researchers proposed to use the mixture of both types to construct hybrid ensembles. However, researchers use decision...
A new neuron classification algorithm called NCA is proposed in the paper.The neurons of NCA divided the sample space non-linearly and adjusted themselves to cover the sample space optimally.After the noise data processed,the generalization of NCA has been enhanced.In the forecast,the introduction of law of attraction not only overcome the lack of Euclidean distance but also increases the accuracy...
The operation principles of proton exchange membrane (PEM) fuel cell system relate to thermodynamics, electrochemistry, hydrodynamics, mass transfer theory, which form a complex nonlinear system, and it is different to establish its mathematical model. This paper utilizes the approach and self-study ability of artificial neural network to build a model of nonlinear system, and adapts the modified...
The ever increasing need for energy efficient systems has led to various ingenious ideas about energy management. A major offshoot of this search for energy efficient solutions is demand management in power systems. The goal of any demand management program is to control the demand for electric power among customers thereby creating load relief for electric utilities and improving system security...
BP neural network (back propagation neural network) is a mathematical model for machine learning. It has a strong advantage in terms of prediction of the future events, and taking into account the different applications, its impact factors are different, which makes the model complex and diverse. A general modeling approach is proposed, which creates and stores BP neural network model dynamically,...
In consideration of the common sensor failures in aero-engine control system, a new approach is proposed using dual redundant predictors based on neutral network in this paper. The neutral network temporal redundant predictor and spatial redundant predictor are created over the time series redundant information of single sensor and the space redundant information of multi-sensor respectively. The...
The gray gradient co-occurrence matrix and BP neural network were presented about the issue of the recognition of oceanic internal waves in a MODIS remote sensing image. First, the gray gradient co-occurrence matrix was used to extract the texture features of internal waves. Second, the appropriate eigenvalues extracted were selected as components of the input vector of the BP neural network.. Third,...
The prestressed loss of group anchor in rock slope increase with time, which leads to the compression belt of structure plane in group anchor area was weakened, deformation of rock surface toward the free surface direction increase gradually, as a result, the slope stability was drastically reduced. Based on the group anchor layout of the abutment rock slope of an arch dam, the anchor-hold monitoring...
The energy-saving gap of building is serious. In practical matters of building engineering, the input process of time-varying system can be divided into several stages. In every stage, the system has its own rules and features. At present, various evaluation methods are slow in solving this matter. Cascade neural network can properly describe the growth continuity of each part of building energy-saving...
This paper presents a new diagnosis method for classifying current waveform events that are related to a variety of induction machine faults. The method is composed of two sequential processes: feature extraction and classification. The essence of the feature extraction is to project a faulty machine signal onto a low dimension time-frequency representation (TFR), which is deliberately designed for...
Firstly, according to the Beijing urban rail transit network characteristics and based on the data of the historical passenger flow, the passenger flow in sections is distributed and the referenced passenger flow in sections is gotten on the theoretical basis of the shortest path distribution of static unbalanced distribution model. Then through a lot of BP neural network modeling experiments, a reasonable...
High voltage submersible motor works in deep water all the year around, and its operating insulation performance deteriorates influenced by the complex environment. Due to the special installed circumstances, the motor can not be readily maintained. Because of the losses caused by motor deterioration, the prediction of the insulation life-expectancy has a great significance. This paper analyzes the...
The basic principle of Artificial Neural Networks and BP algorithm was introduced in this paper. The application of BP algorithm Artificial Neural Networks in fault diagnosis of 40TM liquid-gas hammer was studied. The superiority of BP algorithm Artificial Neural Networks in fault diagnosis was proved by the MATLAB simulation and the training. The causes of faults were determined by BP algorithm Artificial...
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