Long-Term Prediction of Discharges in Manwan Reservoir Using Artificial Neural Network Models

Cheng, Chuntian; Chau, Kwok-wing; Sun, Yaqi; Lin, Jianyi

doi:10.1007/11427469_165

Cited by 124 publications

(66 citation statements)

References 5 publications

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“…The ANNs, and in particular, the feed forward backward propagation perceptrons, are widely applied in different fields during the past decade (Arditi et al, 1998;Thirumalaiah and Deo, 1998;Chau and Cheng, 2002;Cheng et al, 2005;Lin et al, 2006;Muttil and Chau, 2006;Wu and Chau, 2006;Xie et al, 1006;Chau, 2007). It appears that the multi-layer perceptrons can be trained to approximate and accurately generalize virtually any smooth, measurable function whilst taking no prior assumptions concerning the data distribution.…”

Section: Introductionmentioning

confidence: 99%

Application of a PSO-based neural network in analysis of outcomes of construction claims

Chau

2007

Automation in Construction

242

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It is generally acknowledged that construction claims are highly complicated and are interrelated with a multitude of factors. It will be advantageous if the parties to a dispute may have some insights to some degree of certainty how the case would be resolved prior to the litigation process. By its nature, the use of artificial neural networks (ANN) can be a cost-effective technique to help to predict the outcome of construction claims, provided with characteristics of cases and the corresponding past court decisions. This paper presents the adoption of a particle swarm optimization (PSO) model to train perceptrons in predicting the outcome of construction claims in Hong Kong. It is illustrated that the successful prediction rate of PSO-based network is up to 80%. Moreover, it is capable of producing faster and more accurate results than its counterparts of a benching back-propagation ANN. This will furnish an alternative in assessing whether or not to take the case to litigation.

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Section: Introductionmentioning

confidence: 99%

Application of a PSO-based neural network in analysis of outcomes of construction claims

Chau

2007

Automation in Construction

242

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“…Currently, a model named XModel GUI tool is being developed for all above aims. As noted in [10][11][12][13][14][15], more work needs to be done in the future.…”

Section: Discussionmentioning

confidence: 99%

XML Specification for Complex Digital Logic Components

Chen¹

2013

TOAUTOCJ

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Abstract:Considering that the digital system design is a complex task, in order to meet some requirements such as effective performance, low costs and high reliability, and improve the development quality and efficiency, design activities need to be carried out under a precise description for completing the design cycle. This paper presents the XML specification method, and defines a subset of XML syntax for the complex digital logic component model. In this method, the logic mapping table is used to describe combinational logic components, state-oriented finite state machine to describe the behavior models of sequential logic components, and structure-oriented connector to describe structure models of composite hardware components.

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“…The first period represents the extreme dry year, the second period represents an average year and the third period represents the extreme wet year. The basic idea of using ANN hydrological prediction was taken from paper published by Cheng et al [9]. The paper was a guideline for drawing up a prediction model which was further extended and adjusted for the purposes mentioned in this paper.…”

Section: Case Studymentioning

confidence: 99%

Using Predictive Model for Strategic Control of Multi-Reservoir System Storage Capacity

Mensik¹

2011

SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings

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The paper will describe the algorithm based on adaptive optimization of multi reservoir control, which the medium-term water flow predictions into the reservoirs for several months ahead repeatedly use. Hydrological prediction model was created using ANN method and values of control outflows are searching by optimization based on evolutionary algorithms optimization technique. The objective function was descripted as the sum of squares deviations between required and actual controlled water outflow from reservoirs where objective function is minimized. The algorithm of adaptive control is applied to the operation storage control of selected reservoir system, which open water reservoirs Vir and Brno are created.

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Long-Term Prediction of Discharges in Manwan Reservoir Using Artificial Neural Network Models

Cited by 124 publications

References 5 publications

Application of a PSO-based neural network in analysis of outcomes of construction claims

Application of a PSO-based neural network in analysis of outcomes of construction claims

XML Specification for Complex Digital Logic Components

Using Predictive Model for Strategic Control of Multi-Reservoir System Storage Capacity

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