Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319912523, 9783319912530

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Application of Reinforcement Learning to Stacked Autoencoder Deep Network Architecture Optimization

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_26 ◽

2018 ◽

pp. 267-276

Author(s):

Roman Zajdel ◽

Maciej Kusy

Keyword(s):

Reinforcement Learning ◽

Network Architecture ◽

Deep Network ◽

Stacked Autoencoder ◽

Architecture Optimization

Multi-swarm Optimization Algorithm Based on Firefly and Particle Swarm Optimization Techniques

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_38 ◽

2018 ◽

pp. 405-416 ◽

Cited By ~ 4

Author(s):

Tomas Kadavy ◽

Michal Pluhacek ◽

Adam Viktorin ◽

Roman Senkerik

Keyword(s):

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Particle Swarm ◽

Optimization Techniques ◽

Swarm Optimization

On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_3 ◽

2018 ◽

pp. 25-34

Author(s):

Jinde Cao ◽

Leszek Rutkowski

Keyword(s):

Neural Networks ◽

Global Convergence ◽

Streaming Data ◽

Generalized Regression Neural Networks ◽

Generalized Regression

Deep Networks with RBF Layers to Prevent Adversarial Examples

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_25 ◽

2018 ◽

pp. 257-266

Author(s):

Petra Vidnerová ◽

Roman Neruda

Keyword(s):

Deep Networks ◽

Adversarial Examples

Robotic Flow Shop Scheduling with Parallel Machines and No-Wait Constraints in an Aluminium Anodising Plant with the CMAES Algorithm

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_29 ◽

2018 ◽

pp. 302-312

Author(s):

Carina M. Behr ◽

Jacomine Grobler

Keyword(s):

Parallel Machines ◽

Flow Shop ◽

Flow Shop Scheduling ◽

Shop Scheduling ◽

No Wait

A Fuzzy Measure for Recognition of Handwritten Letter Strokes

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_70 ◽

2018 ◽

pp. 761-770 ◽

Cited By ~ 3

Author(s):

Michał Wróbel ◽

Katarzyna Nieszporek ◽

Janusz T. Starczewski ◽

Andrzej Cader

Keyword(s):

Fuzzy Measure

Cyclic Reservoir Computing with FPGA Devices for Efficient Channel Equalization

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_22 ◽

2018 ◽

pp. 226-234

Author(s):

Erik S. Skibinsky-Gitlin ◽

Miquel L. Alomar ◽

Christiam F. Frasser ◽

Vincent Canals ◽

Eugeni Isern ◽

...

Keyword(s):

Channel Equalization ◽

Reservoir Computing

Extreme Value Model for Volatility Measure in Machine Learning Ensemble

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_24 ◽

2018 ◽

pp. 247-256 ◽

Cited By ~ 1

Author(s):

Ryszard Szupiluk ◽

Paweł Rubach

Keyword(s):

Machine Learning ◽

Extreme Value ◽

Extreme Value Model ◽

Value Model

Multi-step Time Series Forecasting of Electric Load Using Machine Learning Models

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_15 ◽

2018 ◽

pp. 148-159 ◽

Cited By ~ 7

Author(s):

Shamsul Masum ◽

Ying Liu ◽

John Chiverton

Keyword(s):

Machine Learning ◽

Time Series ◽

Time Series Forecasting ◽

Electric Load ◽

Learning Models ◽

Machine Learning Models

Motivated Reinforcement Learning Using Self-Developed Knowledge in Autonomous Cognitive Agent

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_17 ◽

2018 ◽

pp. 170-182

Author(s):

Piotr Papiez ◽

Adrian Horzyk

Keyword(s):

Reinforcement Learning ◽

Cognitive Agent

Artificial Intelligence and Soft Computing - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Application of Reinforcement Learning to Stacked Autoencoder Deep Network Architecture Optimization

Multi-swarm Optimization Algorithm Based on Firefly and Particle Swarm Optimization Techniques

On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data

Deep Networks with RBF Layers to Prevent Adversarial Examples

Robotic Flow Shop Scheduling with Parallel Machines and No-Wait Constraints in an Aluminium Anodising Plant with the CMAES Algorithm

A Fuzzy Measure for Recognition of Handwritten Letter Strokes

Cyclic Reservoir Computing with FPGA Devices for Efficient Channel Equalization

Extreme Value Model for Volatility Measure in Machine Learning Ensemble

Multi-step Time Series Forecasting of Electric Load Using Machine Learning Models

Motivated Reinforcement Learning Using Self-Developed Knowledge in Autonomous Cognitive Agent

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science
Latest Publications