Critical temperature of the transiently chaotic neural network
نویسندگان
چکیده
منابع مشابه
An Improved Transiently Chaotic Neural Network to Maximum Clique Problem
By analyzing the dynamics behavior and parameter distribution of the transiently chaotic neural network, we propose an improved transiently neural network model with new embedded back-end chaotic dynamics for combinatorial optimization problem and test it on the maximum clique problem. With the new embedded back-end chaotic dynamics, the proposed model can get enough chaotic dynamics to do glob...
متن کاملTransversal homoclinic orbits in a transiently chaotic neural network.
We study the existence of snap-back repellers, hence the existence of transversal homoclinic orbits in a discrete-time neural network. Chaotic behaviors for the network system in the sense of Li and Yorke or Marotto can then be concluded. The result is established by analyzing the structures of the system and allocating suitable parameters in constructing the fixed points and their pre-images f...
متن کاملSolving TSP by Transiently Chaotic Neural Networks
Inspired by the information processing of human neural systems, the artificial neural networks (ANNs) have been developed and applied to solve problems in various disciplines with varying degrees of success. For example, ANNs have been applied to memory storage, pattern recognition, categorization, error correction, decision making, and machine learning in object oriented machine. Various compu...
متن کاملA Specialized Transiently Chaotic Neural Network for the Minimum Vertex Cover Problem
The minimum vertex cover (MVC) problem is a classic graph optimization problem. It is well known that it is an NP-Complete problem. By analyzing the dynamic behavior of the transiently chaotic neural network and the characteristics of the minimum vertex cover problem, we propose a specialized transiently chaotic neural network for this problem. Extensive simulation results show that the transie...
متن کاملA multistage self-organizing algorithm combined transiently chaotic neural network for cellular channel assignment
In this paper, a new multistage self-organizing channel assignment algorithm with a transiently chaotic neural network (MSSO-TCNN) is proposed as an optimization algorithm. The algorithm is used for assigning channels in cellular mobile networks to cells in the frequency domain. The MSSO-TCNN consists of a progressively initial channel assignment stage and the TCNN assignment stage. According t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical and Computer Modelling
سال: 2003
ISSN: 0895-7177
DOI: 10.1016/s0895-7177(03)00085-2