Titlebook: Neural Information Processing; 16th International C Chi Sing Leung,Minho Lee,Jonathan H. Chan Conference proceedings 2009 Springer-Verlag B

优雅

Swarm Reinforcement Learning Algorithm Based on Particle Swarm Optimization Whose Personal Bests Hav this algorithm, multiple agents are prepared, and they learn not only by individual learning but also by an update procedure of PSO. In this procedure, state-action values are updated based on the personal best and the global best which are found by the agents so far. In this paper, we direct our a

阐释

土坯

自制

champaign

A Semantic SLAM Model for Autonomous Mobile Robots Using Content Based Image Retrieval Techniques vary in their structure. Initial experiments are also included where images captured in different indoor locations are shown, along with the similarity scores of these images. Future work and experiments that are intended to be completed are then discussed.

absorbed

A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Predictionck exchange market and currency exchange rate data. In addition, we have also conducted a benchmark test using the Mackey Glass data set. Results showed that the algorithm offers a considerably high accuracy in time-series prediction and could also reveal repeating patterns of movement from the past.

Needlework

Involving New Local Search in Hybrid Genetic Algorithm for Feature Selectionent features. We have tested our methods on several real-world datasets and have compared the performances with the results of other existing algorithms. It is found that HGAFS produces consistently better performances.

Induction