Titlebook: Bio-Inspired Computational Intelligence and Applications; International Confer Kang Li,Minrui Fei,Shiwei Ma Conference proceedings 2007 Spr

歡樂中國

An Agent Reinforcement Learning Model Based on Neural Networksesigns the agent reinforcement learning based on neural networks. By the simulation experiment of agent’s bid price in Multi-Agent Electronic Commerce System, validated the Agent Reinforcement Learning Algorithm Based on Neural Networks has very good performance and the action impending ability.

舊病復(fù)發(fā)

法官

Application of the Agamogenetic Algorithm to Solve the Traveling Salesman Problemamogenetic operator R-Edge and one mutation operator NI-Dot are given by introducing the conception of the relative distance between cities. The validity of the AGA to solve the traveling salesman problem is shown by simulative experiments.

低三下四之人

使乳化

Pde5-Inhibitors

https://doi.org/10.1007/978-3-642-45817-0or dynamic modification of the population’s dimensionality. A mathematical example was applied to evaluate this proposed approach. The experiment results suggested that this proposed approach is feasible, correct and valid.

時(shí)代

A Novel Neural Network Based Reinforcement Learningthe validity of ART2-RL. As the complexity of the simulation increased, the result shows that the number of collision between robot and obstacles is effectively decreased; the novel neural network model provides significant improvement in the space measurement of reinforcement learning.

Emmenagogue

Parameter Identification of Bilinear System Based on Genetic Algorithm. Through a simulation study to an MIMO bilinear system, good results can still be got. In the last section, the paper describes that a hybrid GA, the combination of Genetic Algorithm and nonlinear Least Square, was developed to identify bilinear system structure and parameters simultaneously.

Graphite

fastness