neural networkstoolsmethodsmodelsmanagementNeural networks are a relatively young developmental area. They imitatethe principles of the biological brain and can therefore be variouslyapplied in different fields. Neural networks have a characteristicof learning. They solve problems in a similar way as the ...
Neural networks, an emerging technique in artificial intelligence, has a strong appeal for a wide range of applications. Seldom has the concept been relate... HC Leung - IEEE International Engineering Management Conference 被引量: 44发表: 1995年 Trends in Neural Computation Trends in Neural Computa...
combinatorial optimization is an active field of research in Neural Networks. Since the first attempts to solve the travelling salesman problem with Hopfield nets several progresses have been made. I will present some Neural Network approximate solutions for NP-complete problems that have a sound mathe...
SOLVING COMBINATORIAL OPTIMISATION PROBLEMS USING NEURAL NETWORKS Over the last decade or so, two maintypes of neural networks have been proposed for solving COP's- in particular, the Travelling Salesman Problem (TSP). The rst of these neural approaches is the Hop eld neural network which ... ...
Thus, the interest in neural networks for decision support is immediateand obvious. In this paper, we analyze the potential contribution of neuralnetworks for decision support, on one hand, and point out at some inherent constraintsthat might inhibit their use, on the other. For the sake of ...
A new method for solving initial value problems in ordinary differential equations (ODES) is proposed in this paper. The algorithm of neural networks based on the cosine basis functions is studied in detail. The convergence theorem of neural networks algorithm is given and proved. The algorithm is...
In this paper, neural networks are proposed to identify the mapping between the design variables and the flux linkage curve of the machine, and thus overcoming the nonlinearities that are inherent to this type of problems. Finite elements analysis is used to validate this approach. 展开 ...
Neural networks provide a rich class of high-dimensional, non-convex optimization problems. Despite their non-convexity, gradient-descent methods often successfully optimize these models. This has motivated a recent spur in research atte... L Venturi,AS Bandeira,J Bruna 被引量: 30发表: 2018年 Fr...
The hydrological forecasting model are established respectively by the traditional method and the new methods, BP network and projection pursuit, in order ... RJ Zhang,ZS Li - 《Applied Mechanics & Materials》 被引量: 0发表: 2014年 The Application of BP-Neural Networks to the Interpolation of...
Risk degree of debris flow applying neural networks In: 1960 IRE WESCON Convention Record, pp 96–104 Yeh, Y-C (1993) Application and operation with artificial neural networks, 8th ed.. Scholar Book ... TC Chang - 《Natural Hazards》 被引量: 71发表: 2007年 Environmental and engineering p...