Ari Nissinen. Neural and evolutionary computing in modeling of complex systems. PhD thesis, Control Engineering Laboratory, Helsinki University of Technology, 1999.Neural and Evolutionary Computing in Modeling of Complex Systems - Nissinen - 1999 () Citation Context ...cations, the data is generated...
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Neural and Evolutionary Computing in Finite Element Analysis This paper presents a discussion of current neural and evolutionary techniques, applied to the field of Finite Element Analysis and Finite Element Mesh Generation. This numerical method is widely used in many science, and engineering ana......
Finally, simulation results show that the flexible behavior acquisition can be done according to the behavioral knowledge and evaluation functions关键词: evolutionary computation fuzzy logic neural nets behavioral knowledge computational intelligence evolutionary computing fuzzy computing neural computing robotics ...
arXiv: Neural and evolutionary computing. http://arxiv.org/abs/1410.0759 Choi Y, El-Khamy M, Lee J (2017) Towards the limit of network quantization. In: 5th International conference on learning representations, ICLR 2017—conference track proceedings. http://arxiv.org/abs/1612.01543 Crankshaw...
Simple static, dynamic, and meta-heuristic techniques provide a solution but not the optimal solution. In such a scenario machine learning and evolutionary algorithms are only the solution. In this work, a hybrid model based on meta-heuristic technique and neural network is proposed. The presented...
Evolutionary computing based on genetic algorithms is used as a tool for global search, integrated with an interior-point method for rapid local convergence. The methodology is applied to solve three cases of boundary value problems for the Bratu equations. The accuracy, convergence and effectiveness...
Evolutionary Learning of Neural Structures for Visuo-Motor Control Artificial neural networks are computing tools, modeled after the human brain in order to make its vast learning and data processing potential available to computers. These networks are known to be powerful tools with natural learning ...
(iii) the behaviour of the co-player. To demonstrate the effect of the social context, we averaged together the players’ positions on different sides of the midpoint by computing the absolute distance from the closest edge, a measure of competitiveness. There was substantial variability in ...
Next, evolutionary algorithms (EAs) as a type of optimization algorithm have indicated the usefulness in ANNs [71]. On the other hand, computational intelligence (CI) had a speedy growth and turned into a diversity subdomain of artificial intelligence (AI) that offered a variation of methods (...