To solve prediction of sunspot number, a parallel process neural networks model is proposed in this paper, Firstly, by dividing the whole time-varying process into several small time intervals, the process neural netw...
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ISBN:
(纸本)9783037858646
To solve prediction of sunspot number, a parallel process neural networks model is proposed in this paper, Firstly, by dividing the whole time-varying process into several small time intervals, the process neural networks are constructed in these small time intervals, which may disperse the load of networks. Then, employing the orthogonal basis expansion in functional space, the learning algorithm of the above-mentioned model is designed. The experimental results of time series predication of sunspots show that the proposed method has great potential for complicated nonlinear time series prediction.
Through the study of various problems in the elimination game, with unity 3D technology which has the advantages of convenient interactive graphical development environment and the cross-platform features, and C# scri...
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ISBN:
(纸本)9781509023059
Through the study of various problems in the elimination game, with unity 3D technology which has the advantages of convenient interactive graphical development environment and the cross-platform features, and C# scripting language is simple, safety, efficient, this paper carefully investigated and described the candy elimination of categories in mobile Android game algorithm design, AI design and the game development process. To achieve the level of the game options, multiple candy elimination, special effects, scores of statistics, and other functions. For the development of such games or other games with a certain guidance and reference.
paper presents an innovative concept for automatic selection of an optimal tap of the phase shifting transformer (PST) before its switching-on. The purpose of the system is to enable the switching-on of the PST withou...
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ISBN:
(纸本)9781538647592
paper presents an innovative concept for automatic selection of an optimal tap of the phase shifting transformer (PST) before its switching-on. The purpose of the system is to enable the switching-on of the PST without sudden changes in power network operating conditions. For the investigation of the underlying phenomena during switching, a test power network containing the accurate dynamic model of the PST was developed. The investigations were performed for different scenarios of changes in the power network parameters and control options of the PST. This allowed determining the desired functionality and structure of the automation system for selecting an optimal tap of the PST before its switching-on. The developed automation system is based on synchronous measurements, and this represents a novel implementation of such measurements. Verification simulation studies indicate that the proposed concept achieves the stated objectives. It is expected that the practical application of this automation system can resolve the transient overcurrent in the adjoining network components arising from PST switching. Overall this will enable significant minimization of negative effects of PST switching-on the power network operating conditions.
In this paper a systematic analysis of a public intrusion detection dataset has been developed in order to understand how the traffic behaves in this particular context. This analysis is used for avoiding common pitfa...
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ISBN:
(纸本)9781538676592
In this paper a systematic analysis of a public intrusion detection dataset has been developed in order to understand how the traffic behaves in this particular context. This analysis is used for avoiding common pitfalls introduced because of a misunderstanding of data peculiarities and for selecting and tailoring correctly the algorithms. Specifically, we have employed machine learning algorithms to classify the traffic into normal and attack flows. In addition, it is important to decide what features should be evaluated. Typically, standard metrics do not take into account time spent in the classification, what is essential in an intrusion detection system. This is the reason why we introduce a metric that considers both the accuracy and the delay to make the decision and that is employed for evaluating machine learning algorithms in other domains. The conclusions obtained from our dataset analysis can be used to develop new models that could fit the data better than existing approaches.
We report on our ongoing work in the development of automated CCM mapping and scheduling tools. We seek efficient methods to assign a high-level computational description across the processing elements of a target CCM...
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ISBN:
(纸本)0819429872
We report on our ongoing work in the development of automated CCM mapping and scheduling tools. We seek efficient methods to assign a high-level computational description across the processing elements of a target CCM. Such an assignment requires both a partitioning in space (the task map) and a partitioning in time (the execution schedule). We embrace a number of algorithmic design techniques, spanning the spectrum from the hugely theoretical to the extremely applied. Our goal is to produce suites of tools that meet a variety of design objectives.
We identify the budget and the utilization of an aperiodic server as vital attributes that affect its performance. Based on this observation, we formulate an optimization problem in which we are given a minimum budget...
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ISBN:
(纸本)9781450399838
We identify the budget and the utilization of an aperiodic server as vital attributes that affect its performance. Based on this observation, we formulate an optimization problem in which we are given a minimum budget for multiple servers running at the same priority, and the objective is to find the dimensions (budgets and periods) of these servers to maximize their cumulative utilization. We propose a linear-time algorithm for solving the problem if priorities are rate-monotonic, periods are harmonic, and deadlines are equal to periods. We also propose mixed-integer nonlinear programs for the general problem when these simplifying assumptions are lifted. Finally, we discuss issues arising when implementing multiple servers at the same priority, and we show how to modify the specifications of servers to address these issues.
INTRODUCTION: Robotics is currently the most cutting-edge international science and technology, as well as a high value-added core technology. Robots are widely used in a variety of industrial fields, as a new directi...
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INTRODUCTION: Robotics is currently the most cutting-edge international science and technology, as well as a high value-added core technology. Robots are widely used in a variety of industrial fields, as a new direction in the development of robotics, and play an important role in solving the current employment problems in China. OBJECTIVES: This paper combines its research results, introduces the machine learning method in the robot control system, and establishes the employment index system in the robot working environment by combining the employment factors with the environmental relationship ***: This paper combines its research results, introduces the machine learning method in the robot control system, and establishes the employment index system in the robot working environment by combining the employment factors with the environmental relationship ***: The study found that the willingness of university students to choose a job gradually increases as their education level rises;the lower the level of education, the weaker their willingness to look for a job;the higher the level of education the more sensitive they are to the quality of education and educational specialities, the higher their willingness to ***: Based on the robot control system design the factors that have an impact on the environment in real economic activities (e.g., age, gender, occupation, education level, etc.) play a role in promoting the future application and development of robotics in China.
The concept of channel, a computational mechanism used to convey state to different threads of process execution, is at the core of the design of multi-threaded concurrent algorithms. In the case of concurrent evoluti...
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ISBN:
(纸本)9783030310196;9783030310189
The concept of channel, a computational mechanism used to convey state to different threads of process execution, is at the core of the design of multi-threaded concurrent algorithms. In the case of concurrent evolutionary algorithms, channels can be used to communicate messages between several threads performing different evolution tasks related to genetic operations or mixing of populations. In this paper we study to what extent the design of these messages in a communicating sequential process context may influence scaling and performance of concurrent evolutionary algorithms. For this aim, we designed a channel-based concurrent evolutionary algorithm that is able to effectively solve different benchmark binary problems (e.g. OneMax, LeadingOnes, RoyalRoad), showing that it provides a good basis to leverage the multithreaded and multi-core capabilities of modern computers. Although our results indicate that concurrency is advantageous to scale-up the performance of evolutionary algorithms, they also highlight how the trade-off between concurrency, communication and evolutionary parameters affect the outcome of the evolved solutions, opening-up new opportunities for algorithm design.
Motivated by applications in e-retail and online advertising, we study the problem of assortment optimization under visibility constraints, referred to as APV. We are given a universe of substitutable products and a s...
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ISBN:
(纸本)9783031598340;9783031598357
Motivated by applications in e-retail and online advertising, we study the problem of assortment optimization under visibility constraints, referred to as APV. We are given a universe of substitutable products and a stream of T customers. The objective is to determine the optimal assortment of products to offer to each customer in order to maximize the total expected revenue, subject to the constraint that each product is required to be shown to a minimum number of customers. The minimum display requirement for each product is given exogenously and we refer to these constraints as visibility constraints. We assume that customer choices follow a Multinomial Logit model. We provide a characterization of the structure of the optimal assortments and present an efficient polynomial time algorithm for solving APV. To accomplish this, we introduce a novel function called the "expanded revenue" of an assortment and establish its supermodularity. Our algorithm takes advantage of this structural property. Additionally, we demonstrate that APV can be formulated as a compact linear program. Finally, we propose a novel, fair strategy for pricing the revenue loss due to the enforcement of visibility constraints.
Finding appropriate parameter values for Evolutionary algorithms (EAs) is one of the persistent challenges of Evolutionary Computing. In recent publications we showed how the REVAG (Relevance Estimation and VAlue Cali...
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ISBN:
(纸本)9783642122385
Finding appropriate parameter values for Evolutionary algorithms (EAs) is one of the persistent challenges of Evolutionary Computing. In recent publications we showed how the REVAG (Relevance Estimation and VAlue Calibration) method is capable to find good EA parameter values for single problems. Here we demonstrate that REVAC can also tune an EA to a set of problems (a whole test suite). Hereby we obtain robust, rather than problem-tailored, parameter values and an EA that is a 'generalist, rather than a 'specialist. The optimized parameter values prove to be different from problem to problem and also different from the values of the generalist. Furthermore, we compare the robust parameter values optimized by REVAC with the supposedly robust conventional values and see great differences. This suggests that traditional settings might be far from optimal, even if they are meant to be robust.
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