Titlebook: Intelligent Computing Theories and Application; 13th International C De-Shuang Huang,Vitoantonio Bevilacqua,Phalguni Gu Conference proceedi

Glutinous

賭博

A Fast Approximate Hypervolume Calculation Method by a Novel Decomposition Strategys paper. We first analyze the complexity of the proposed algorithm in theory, and then execute a series experiments to further test its efficiency. Both simulation experiments and theoretical analysis verify the effectiveness and efficiency of the proposed method.

取之不竭

An Evolutionary Algorithm for Autonomous Agents with Spiking Neural Networkslution. The corresponding food gathering experiment results show that the autonomous agents appear intelligent behaviours for the simulation environment. Additionally, the parameters of networks and agents play an important role in the evolutionary process.

鴕鳥(niǎo)

defeatist

哀悼

Enhance a Deep Neural Network Model for Twitter Sentiment Analysis by Incorporating User Behavioral olutional Neural Network (CNN). The system is evaluated on two datasets provided by SemEval. The proposed model outperforms the baselines. That means going beyond the content of tweets benefits sentiment classification; providing the classifier with a deep understanding of the task.

Conserve

Exploring the New Application of Morphological Neural Networks effective machine learning method, and can very well simulate the cognitive phenomenon of “one-trial learning”, therefore, it will provide a new experimental tool for the study of intelligent science and cognitive science.

捏造

0302-9743 th International Conference on Intelligent Computing, ICIC 2017, held in Liverpool, UK, in August 2017. ?.The 212 full papers and 20 short papers of the three proceedings volumes were carefully reviewed and selected from 612 submissions. This first volume of the set comprises 71 papers. The papers a

使迷醉

Gbest-Guided Covariance Matrix Adaptation Evolution Strategy for Large Scale Global OptimizationGCMA-ES) where the gbest information is utilized in the search equation to guide the exploitation process. The GCMA-ES can take advantages from both the CMA-ES and the gbest-guided strategy. Its performance is demonstrated on the CEC 2010 LSGO benchmarks.

使迷惑