The 14th International Work-Conference on Artificial Neural Networks (IWANN) is a biennial meeting seeks to provide a discussion forum for scientists, engineers, educators and students about the latest discoveries and… Click to show full abstract
The 14th International Work-Conference on Artificial Neural Networks (IWANN) is a biennial meeting seeks to provide a discussion forum for scientists, engineers, educators and students about the latest discoveries and realizations in the foundations, theory, models and applications of systems inspired on nature, using computational intelligence methodologies, as well as in emerging areas related to the above items. As in previous editions, we strongly emphasize the wide range of topics comprised under the umbrella of IWANN2017 and, in particular, we focus on trending topics such as Deep Learning, Human-centred Computing and developments encompassed in and related to the Human Brain Project. This approach will be both theoretical and practical, through invited talks, tutorials, workshops, presentation of demos and functional prototypes. Besides, we offer the possibility to carry out a limited number of virtual presentations for those who want to participate but they have serious difficulties on travelling. Since the first edition in Granada (LNCS 540, 1991), the conference has evolved and matured, and most of the topics involved have achieved a maturity and reinforced consolidation. The fourteenth edition of the IWANN conference “International Work-Conference on Artificial Neural Networks” was held in Cadiz, (Spain) during June 14–16, 2017. The list of topics in the successive Call for Papers has also evolved, resulting in the following list for the present edition:
               
Click one of the above tabs to view related content.