ICANN ’94
Title | ICANN ’94 PDF eBook |
Author | Maria Marinaro |
Publisher | Springer |
Pages | 1488 |
Release | 1994-05-20 |
Genre | Computers |
ISBN | 9783540198871 |
From its early beginnings in the fifties and sixties the field of neural networks has been steadily growing. The first wave was driven by a handful of pioneers who first discovered analogies between machines and biological systems in communication, control and computing. Technological constraints held back research considerably, but gradually computers have become less expensive and more accessible and software tools inceasingly more powerful. Mathematical techniques, developed by computer-aware people, have steadily accumulated and the second wave has begun. Researchers from such diverse areas as psychology, mathematics, physics, neuroscience and engineering now work together in the neural networking field.
The 1996 IEEE International Conference on Neural Networks
Title | The 1996 IEEE International Conference on Neural Networks PDF eBook |
Author | |
Publisher | |
Pages | 2275 |
Release | 1996 |
Genre | |
ISBN | 9780780332119 |
Engineering Applications of Neural Networks
Title | Engineering Applications of Neural Networks PDF eBook |
Author | Giacomo Boracchi |
Publisher | Springer |
Pages | 739 |
Release | 2017-07-30 |
Genre | Computers |
ISBN | 3319651722 |
This book constitutes the refereed proceedings of the 18th International Conference on Engineering Applications of Neural Networks, EANN 2017, held in Athens, Greece, in August 2017. The 40 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers cover the topics of deep learning, convolutional neural networks, image processing, pattern recognition, recommendation systems, machine learning, and applications of Artificial Neural Networks (ANN) applications in engineering, 5G telecommunication networks, and audio signal processing. The volume also includes papers presented at the 6th Mining Humanistic Data Workshop (MHDW 2017) and the 2nd Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE).
Artificial Neural Networks and Machine Learning – ICANN 2021
Title | Artificial Neural Networks and Machine Learning – ICANN 2021 PDF eBook |
Author | Igor Farkaš |
Publisher | Springer Nature |
Pages | 664 |
Release | 2021-09-10 |
Genre | Computers |
ISBN | 3030863409 |
The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes. In this volume, the papers focus on topics such as computer vision and object detection, convolutional neural networks and kernel methods, deep learning and optimization, distributed and continual learning, explainable methods, few-shot learning and generative adversarial networks. *The conference was held online 2021 due to the COVID-19 pandemic.
Artificial Neural Networks and Machine Learning – ICANN 2016
Title | Artificial Neural Networks and Machine Learning – ICANN 2016 PDF eBook |
Author | Alessandro E.P. Villa |
Publisher | Springer |
Pages | 585 |
Release | 2016-08-26 |
Genre | Computers |
ISBN | 3319447785 |
The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume.
Artificial Neural Networks and Machine Learning – ICANN 2021
Title | Artificial Neural Networks and Machine Learning – ICANN 2021 PDF eBook |
Author | Igor Farkaš |
Publisher | Springer Nature |
Pages | 617 |
Release | 2021-09-11 |
Genre | Computers |
ISBN | 303086362X |
The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes. In this volume, the papers focus on topics such as adversarial machine learning, anomaly detection, attention and transformers, audio and multimodal applications, bioinformatics and biosignal analysis, capsule networks and cognitive models. *The conference was held online 2021 due to the COVID-19 pandemic.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference
Title | Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference PDF eBook |
Author | Lazaros Iliadis |
Publisher | Springer Nature |
Pages | 630 |
Release | 2020-05-27 |
Genre | Computers |
ISBN | 3030487911 |
This book gathers the proceedings of the 21st Engineering Applications of Neural Networks Conference, which is supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characterized by alternating growth spurts and “AI winters.” Today, AI is an essential component of the fourth industrial revolution and enjoying its heyday. Further, in specific areas, AI is catching up with or even outperforming human beings. This book offers a comprehensive guide to AI in a variety of areas, concentrating on new or hybrid AI algorithmic approaches with robust applications in diverse sectors. One of the advantages of this book is that it includes robust algorithmic approaches and applications in a broad spectrum of scientific fields, namely the use of convolutional neural networks (CNNs), deep learning and LSTM in robotics/machine vision/engineering/image processing/medical systems/the environment; machine learning and meta learning applied to neurobiological modeling/optimization; state-of-the-art hybrid systems; and the algorithmic foundations of artificial neural networks.