Titlebook: Hybrid Artificial Intelligent Systems; 16th International C Hugo Sanjurjo González,Iker Pastor López,Emilio Co Conference proceedings 2021

厭氧

書目名稱Hybrid Artificial Intelligent Systems影響因子(影響力)




書目名稱Hybrid Artificial Intelligent Systems影響因子(影響力)學(xué)科排名




書目名稱Hybrid Artificial Intelligent Systems網(wǎng)絡(luò)公開度




書目名稱Hybrid Artificial Intelligent Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Hybrid Artificial Intelligent Systems被引頻次




書目名稱Hybrid Artificial Intelligent Systems被引頻次學(xué)科排名




書目名稱Hybrid Artificial Intelligent Systems年度引用




書目名稱Hybrid Artificial Intelligent Systems年度引用學(xué)科排名




書目名稱Hybrid Artificial Intelligent Systems讀者反饋




書目名稱Hybrid Artificial Intelligent Systems讀者反饋學(xué)科排名

出沒

Flatter

Managing Gene Expression in Evolutionary Algorithms with Gene Regulatory Networksdeveloped algorithm can outperform the standard genetic algorithm in dynamic environments. The algorithm is however not able to outperform all the other developed methods of managing gene expression and avenues for future improvement will be explored.

榨取

使顯得不重要

0302-9743 d in Bilbao, Spain, in September 2021..The 44 full and 11 short papers presented in this book were carefully reviewed and selected from 81 submissions. The papers are grouped into these topics: data mining, knowledge discovery and big data; bio-inspired models and evolutionary computation; learning

斥責(zé)

Document Similarity by Word Clustering with Semantic Distancestration in standard cases, we use the problem of classification of BBC dataset and evaluate their accuracies, producing document clusters by LSA, word-clustering with WordNet, and word-clustering with Word2Vec.

蛤肉

staging

Learning Bipedal Walking Through Morphological Developmentdom NAO type robot and have designed a morphological development strategy to this end. The results obtained have allowed us to validate the relevance of the assumptions made for the design and implementation of a morphological development strategy.

嘴唇可修剪

A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace P the knowledge from the Internet of Things data which is a kind of big data, a new classification model based on subspace probability detection is proposed. This model can be well integrated with traditional data mining algorithms, and the performance on sensor data mining is greatly improved.

表兩個(gè)

A Binary Classification Model for Toxicity Prediction in Drug Designprotein to test the accuracy prediction of the models. All models were tested with different sets of hyperparameters. The proposed model showed higher accuracy and lower loss compared to the other architectures. The number of descriptors played a key roll in the accuracy of the proposed model along with the Adam optimizer.