Computer Intelligence in Modeling, Prediction, and Analysis of Complex Dynamical Systems
نویسندگان
چکیده
Our technological civilization has had to confront numerous technological challenges such as finding the optimal solution of various problems including control technologies, power sources construction, and energy distribution amongst others. Analysis and prediction of complex system behavior such as stock exchange or other complex engineering structures and devices. Technology development of those and related areas has had and continues to have a profound impact on our civilization and lifestyle. The topics discussed in this special issue belong to these mentioned areas and are mutually joined into a comprehensive text, which while discussing the specific selected topics gives a deeper insight to the interdisciplinary fusion of those modern and promising areas of emerging algorithms and technologies.This special issue discusses themutual intersection of interesting fields of research, as artificial intelligence, unconventional algorithm, complex system behavior like chaos, soft computing, simulators, and software engineering amongst others. Novel techniques are also discussed in this special issue, which are able to handle tasks such asmodel and control of various systems, optimization by means standard and novelmethods. Togetherwithmany interesting emerging technologies, a readerwill also find in the special issue various mathematical and algorithmical methods used for proposed applications. Therefore, this special issue is a timely volume to be welcome by the community focused on above mentioned techniques and beyond. This special issue is devoted to the studies of common and related subjects in intensive research fields of modern algorithms and their applications. For these reasons, we believe that this special issue will be interesting to scientists and engineers working in the above mentioned fields of research and applications.
منابع مشابه
Capturing Outlines of Planar Generic Images by Simultaneous Curve Fitting and Sub-division
In this paper, a new technique has been designed to capture the outline of 2D shapes using cubic B´ezier curves. The proposed technique avoids the traditional method of optimizing the global squared fitting error and emphasizes the local control of data points. A maximum error has been determined to preserve the absolute fitting error less than a criterion and it administers the process of curv...
متن کاملSports Result Prediction Based on Machine Learning and Computational Intelligence Approaches: A Survey
In the current world, sports produce considerable statistical information about each player, team, games, and seasons. Traditional sports science believed science to be owned by experts, coaches, team managers, and analyzers. However, sports organizations have recently realized the abundant science available in their data and sought to take advantage of that science through the use of data mini...
متن کاملSynchronization criteria for T-S fuzzy singular complex dynamical networks with Markovian jumping parameters and mixed time-varying delays using pinning control
In this paper, we are discuss about the issue of synchronization for singular complex dynamical networks with Markovian jumping parameters and additive time-varying delays through pinning control by Takagi-Sugeno (T-S) fuzzy theory.The complex dynamical systems consist of m nodes and the systems switch from one mode to another, a Markovian chain with glorious transition probabili...
متن کاملSynchronization analysis of complex dynamical networks with hybrid coupling with application to Chua’s circuit
Complex dynamic networks have been considered by researchers for their applications in modeling and analyzing many engineering issues. These networks are composed of interconnected nodes and exhibit complex behaviors that are resulted from interactions between these nodes. Synchronization, which is the concept of coordinated behavior between nodes, is the most interested behavior in these netwo...
متن کاملApplication of Genetic Programming to Modeling and Prediction of Activity Coefficient Ratio of Electrolytes in Aqueous Electrolyte Solution Containing Amino Acids
Genetic programming (GP) is one of the computer algorithms in the family of evolutionary-computational methods, which have been shown to provide reliable solutions to complex optimization problems. The genetic programming under discussion in this work relies on tree-like building blocks, and thus supports process modeling with varying structure. In this paper the systems containing amino ac...
متن کاملLink Prediction using Network Embedding based on Global Similarity
Background: The link prediction issue is one of the most widely used problems in complex network analysis. Link prediction requires knowing the background of previous link connections and combining them with available information. The link prediction local approaches with node structure objectives are fast in case of speed but are not accurate enough. On the other hand, the global link predicti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
دوره 2015 شماره
صفحات -
تاریخ انتشار 2015