NEAT [@neat-python] OOP Neuroevolution Limited use the visualization tools: Comparison of the popular genetic algorithm frameworks.ContributionsIf you'd like to contribute to pyrimidine, please contact me; and if you have noticed any bugs, use the GitHub issues page to report them.About...
Gradient descent is an optimization algorithm that follows the negative gradient of an objective function in order to locate the minimum of the function. It is a simple and effective technique that can be implemented with just a few lines of code. It also provides the basis for many extensions...
If you see my code and data useful and use it, please cites us here Nguyen, T., Tran, N., Nguyen, B. M., & Nguyen, G. (2018, November). A Resource Usage Prediction System Using Functional-Link and Genetic Algorithm Neural Network for Multivariate Cloud Metrics. In 2018 IEEE 11th ...
On parameter estimation in long-code DS/CDMA systems: Cramer-Rao bounds and least-squares algorithmsspread spectrum communicationcode division multiple access... S Buzzi,Poor, H.V - 《IEEE Transactions on Signal Processing》 被引量: 62发表: 2003年 A Micro-Genetic Algorithm-Based CDMA Multi-User...
Design of electrically small wire antennas using a Pareto genetic algorithm For the antenna configuration, we employ a multisegment wire structure. The Numerical Electromagnetics Code (NEC) is used to predict the performance of ... H Choo,RL Rogers,H Ling - 《IEEE Transactions on Antennas & ...
to explore how to find out the "constrained" or "optimum" path(s) for t ime sensitivemultimedia application including unicast (one to one) and multicast (one to many or many to many) , and evenintroduce some self-teaching mechanisms such as neural network, genetic algorithm and fuzzy logic...
The beauty of our CPU code download method is that it's fully portable across FPGA vendors and boards -- It's without inherent dependencies on the special, vendor-specific IP. Game Logic This section is about the algorithm basics, i.e. the logic of the game. It's worth emphasizing that...
Source code of these methods are written based on pseudocode & paper Main goals of this toolbox are: Knowledge sharing on wrapper feature selection Assists others in data mining projects Usage The main function jfs is adopted to perform feature selection. You may switch the algorithm by changin...
/GA. Our recommendation is that the number of generations should be relatively large. If computing time is too large, the data could be split into smaller subsets. In any case, we do recommend some narrow grid / random search to be performed around values suggested by the genetic algorithm....
If you see my code and data useful and use it, please cites us here Nguyen, T., Tran, N., Nguyen, B. M., & Nguyen, G. (2018, November). A Resource Usage Prediction System Using Functional-Link and Genetic Algorithm Neural Network for Multivariate Cloud Metrics. In 2018 IEEE 11th ...