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Soft computing

About: Soft computing is a research topic. Over the lifetime, 6710 publications have been published within this topic receiving 118508 citations.


Papers
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Proceedings ArticleDOI
20 Mar 2011
TL;DR: This overview is not intended to be an exhaustive survey on this topic and any omissions of other works is purely unintentional.
Abstract: Wind energy systems have been emerging as a highly significant solution to the problem of limited traditional energy sources. In this paper, control methodologies adapted to wind energy systems are topically reviewed. oHard computing or control techniques such as proportional-integral-derivative (PID), optimal, nonlinear, adaptive and robust and soft computing or control techniques such as neural networks, fuzzy logic, genetic algorithms and on the fusion or hybrid of hard and soft control techniques are primarily focused. This overview concludes with some possible future directions are also suggested. This overview is not intended to be an exhaustive survey on this topic and any omissions of other works is purely unintentional.

48 citations

Journal ArticleDOI
01 Aug 2002
TL;DR: The role of user profiles using fuzzy logic in web retrieval processes, including creation, modification, storage, clustering and interpretation, and the role of fuzzy logic and other soft computing techniques to improve user profiles are considered.
Abstract: We present a study of the role of user profiles using fuzzy logic in web retrieval processes. Flexibility for user interaction and for adaptation in profile construction becomes an important issue. We focus our study on user profiles, including creation, modification, storage, clustering and interpretation. We also consider the role of fuzzy logic and other soft computing techniques to improve user profiles. Extended profiles contain additional information related to the user that can be used to personalize and customize the retrieval process as well as the web site. Web mining processes can be carried out by means of fuzzy clustering of these extended profiles and fuzzy rule construction. Fuzzy inference can be used in order to modify queries and extract knowledge from profiles with marketing purposes within a web framework. An architecture of a portal that could support web mining technology is also presented.

48 citations

Journal ArticleDOI
01 Jan 2016
TL;DR: The proposed soft computing method has been tested and compared to other algorithms by applying it to the problem of predicting SVI in WWTP and demonstrates its effectiveness of achieving considerably better predicting performance for SVI values.
Abstract: The structure of RSONN can be self-organized based on the contributions of each hidden node, which uses not only the past states but also the current states.The appropriately adjusted learning rates of RSONN is derived based on the Lyapunov stability theorem. Moreover, the convergence of the proposed RSONN is discussed.An experimental hardware, including the proposed soft computing method is set up. The experimental results have confirmed that the soft computing method exhibits satisfactory predicting performance for SVI. In this paper, a soft computing method, based on a recurrent self-organizing neural network (RSONN) is proposed for predicting the sludge volume index (SVI) in the wastewater treatment process (WWTP). For this soft computing method, a growing and pruning method is developed to tune the structure of RSONN by the sensitivity analysis (SA) of hidden nodes. The redundant hidden nodes will be removed and the new hidden nodes will be inserted when the SA values of hidden nodes meet the criteria. Then, the structure of RSONN is able to be self-organized to maintain the prediction accuracy. Moreover, the convergence of RSONN is discussed in both the self-organizing phase and the phase following the modification of the structure for the soft computing method. Finally, the proposed soft computing method has been tested and compared to other algorithms by applying it to the problem of predicting SVI in WWTP. Experimental results demonstrate its effectiveness of achieving considerably better predicting performance for SVI values.

48 citations

Journal ArticleDOI
TL;DR: A simulation-optimization approach to achieve an accurate and cost effective in-situ bioremediation system design for groundwater contaminated with BTEX compounds is presented and results indicate that ELM is a faster and more accurate proxy simulator than ANN and SVM.

47 citations

Journal ArticleDOI
TL;DR: This study applies a correlated binomial distribution to characterize the state distribution of each edge within a network and a redundancy optimization approach integrating simulated annealing (SA), minimal paths, and correlated Binomial distribution is proposed.

47 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023159
2022270
2021319
2020332
2019313
2018348