New Neural Network Models -- Supervised Learning Algorithms -- Ensemble-Based Learning -- Unsupervised Learning -- Recurrent Neural Networks -- Reinforcement Learning -- Bayesian Approaches to Learning -- Learning Theory -- Artificial Neural Networks for System Modeling, Decision Making, Optimalization and Control -- Special Session: Knowledge Extraction from Neural Networks Organizer and Chair: D. A. Elizondo -- Temporal Data Analysis, Prediction and Forecasting -- Support Vector Machines and Kernel-Based Methods -- Soft Computing Methods for Data Representation, Analysis and Processing -- Special Session: Data Fusion for Industrial, Medical and Environmental Applications Organizers and Chairs: D. Mandic, D. Obradovic -- Special Session: Non-linear Predictive Models for Speech Processing Organizers and Chairs: M. Chetouani, M. Faundez-Zanuy, B. Gas, A. Hussain -- Special Session: Intelligent Multimedia and Semantics Organizers and Chairs: Y. Avrithis, S. Kollias -- Applications to Natural Language Proceesing -- Various Applications -- Special Session: Computational Intelligence in Games Organizer and Chair: J. Ma´ndziuk -- Issues in Hardware Implementation -- Erratum.

The two volume set LNCS 3696 and LNCS 3697 constitutes the refereed proceedings of the 15th International Conference on Artificial Neural Networks, ICANN 2005, held in Warsaw, Poland in September 2005. The over 600 papers submitted to ICANN 2005 were thoroughly reviewed and carefully selected for presentation. The first volume includes 106 contributions related to Biological Inspirations; topics addressed are modeling the brain and cognitive functions, development of cognitive powers in embodied systems spiking neural networks, associative memory models, models of biological functions, projects in the area of neuroIT, evolutionary and other biological inspirations, self-organizing maps and their applications, computer vision, face recognition and detection, sound and speech recognition, bioinformatics, biomedical applications, and information- theoretic concepts in biomedical data analysis. The second volume contains 162 contributions related to Formal Models and their Applications and deals with new neural network models, supervised learning algorithms, ensemble-based learning, unsupervised learning, recurent neural networks, reinforcement learning, bayesian approaches to learning, learning theory, artificial neural networks for system modeling, decision making, optimalization and control, knowledge extraction from neural networks, temporal data analysis, prediction and forecasting, support vector machines and kernel-based methods, soft computing methods for data representation, analysis and processing, data fusion for industrial, medical and environmental applications, non-linear predictive models for speech processing, intelligent multimedia and semantics, applications to natural language processing, various applications, computational intelligence in games, and issues in hardware implementation.