Modeling time series is a well investigated area for a long period. During last years fuzzy cognitive maps have been successfully employed for this purpose. Easy interpretation of relations and dependencies in an info...
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ISBN:
(纸本)9781538651636
Modeling time series is a well investigated area for a long period. During last years fuzzy cognitive maps have been successfully employed for this purpose. Easy interpretation of relations and dependencies in an information space raised by time series is an important aspect of latest researches, which brought time series processing from an elementary, numerical, level to a space of concepts created by a given time series. In this paper we investigate time series modeling with fuzzy cognitive maps at a concept level. Discussion is focused on constructions of fuzzy cognitive maps for a given time series which is transformed to a level of concepts. Attention is payed on objective functions, which are employed to training and quality evaluating of fuzzy cognitive maps. Several types of objective functions are proposed, discussed and tested. Objective functions studied in this paper are based on mean square error and maximal square error.
Data leakage will lead to privacy exposure and cause the loss of data assets and brand reputation. Data perturbation is an efficient approach to overcome the aforementioned challenge, which can protect the privacy by ...
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this paper describes an intelligent Web browsing system, called Internet Scrapbook, which allows users with little programming skill to automate their repetitive browsing tasks using a programming-by-demonstration tec...
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this paper describes an intelligent Web browsing system, called Internet Scrapbook, which allows users with little programming skill to automate their repetitive browsing tasks using a programming-by-demonstration technique. Withthe system, the user can create a personal page by clipping only the necessary portions from multiple Web pages. Once the personal page is created, the system updates it on behalf of the user by extracting the specified ports from the latest Web pages. (C) 1998 Published by Elsevier Science B.V. All rights reserved.
Graphical user interfaces (GUIs) are hard to combine withfunctionalprogramming. Using a suitable combination of monads, we are able to tame the imperative aspects of graphical I/O in a straightforward and elegant wa...
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ISBN:
(纸本)354060359X
Graphical user interfaces (GUIs) are hard to combine withfunctionalprogramming. Using a suitable combination of monads, we are able to tame the imperative aspects of graphical I/O in a straightforward and elegant way. We present a concept to integrate lightweight GUIs into the functional framework, together with a library of basic functions and layout combinators to manipulate the GUI. An implementation of this library, using a set of high-level graphical I/O routines, is outlined. Examples demonstrate the simple way in which applications can be written.
Integrated energy systems can effectively improve the efficiency of energy utilization and promote sustainable development of energy, while meeting the diversified energy demands. In order to deal withthe operation r...
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Integrated energy systems can effectively improve the efficiency of energy utilization and promote sustainable development of energy, while meeting the diversified energy demands. In order to deal withthe operation risk caused by system uncertainties, the CVaR method was introduced into the system optimization model for risk management. the CVaR model was adopted to solve a multi-objective optimization problem using a two-stage stochastic programming method, where the uncertainty about solar energy and energy demand are considered at the same time. By comparing the optimization results obtained from the CVaR method and from the conventional scenario-based stochastic programming method, the effectiveness of the CVaR method in risk management of integrated energy systems is verified. (C) 2020 the Author(s). Published by Elsevier Ltd.
Bulk-Synchronous Parallel ML (BSML) is a functional data-parallel language to code Bulk-Synchronous Parallel (BSP) algorithms. It allows an estimation of execution time, avoids deadlocks and non-determinism. this pape...
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ISBN:
(纸本)9783540725831
Bulk-Synchronous Parallel ML (BSML) is a functional data-parallel language to code Bulk-Synchronous Parallel (BSP) algorithms. It allows an estimation of execution time, avoids deadlocks and non-determinism. this paper presents the implementation of a new primitive for BSML which can express divide-and-conquer algorithms.
Micro, Small and Medium Enterprises (MSMEs) play an important role in economic development However, due to the prevalence of information asymmetry, MSMEs are hard to borrow money and banks have difficulties in accurat...
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three-dimensional integrated circuit (3D IC) technology can improve the circuit performance and reduce the power dissipation. However, the heat generated by the stacked layers may cause a large amount of temperature r...
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ISBN:
(纸本)9781467316385;9781467316354
three-dimensional integrated circuit (3D IC) technology can improve the circuit performance and reduce the power dissipation. However, the heat generated by the stacked layers may cause a large amount of temperature rise. It is known that the layer assignment result has a great impact on the amount of temperature rise. Although the integer linear programming (ILP) approach can guarantee finding the minimum-temperature-rise layer assignment solution, solving the ILP formulation is an NP-hard problem. In this paper, we propose a heuristic algorithm to derive a near-optimal layer assignment solution in polynomial time complexity. Experimental results consistently show that our approach is very effective and efficient.
Optimal control theory deals with finding the policy that minimizes the discounted infinite horizon quadratic cost function. For finding the optimal control policy, the solution of the Hamilton-Jacobi-Bellman (HJB) eq...
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ISBN:
(纸本)9781728159539
Optimal control theory deals with finding the policy that minimizes the discounted infinite horizon quadratic cost function. For finding the optimal control policy, the solution of the Hamilton-Jacobi-Bellman (HJB) equation must be found i.e. the value function which satisfies the Bellman equation. However, the HJB is a partial differential equation that is difficult to solve for a nonlinear system. the paper employs the approximate dynamic programming method to solve the HJB equation for the deterministic nonlinear discrete-time systems in continuous state and action space. the approximate solution of the HJB is found by the policy iteration algorithm which has the framework of actor-critic architecture. the control policy and value function are approximated using function approximators such as neural network represented in the form of linearly independent basis function. the gradient descent optimization algorithm is employed to tune the weights of the actor and critic network. the control algorithm is implemented for cart pole inverted pendulum system, the effectiveness of this approach is provided in simulations.
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