Alberto Prieto – författare

This volume is the first scientific publication of the results of a systematic, intensive archaeological field survey conducted in the agricultural territory (chora) of a Greek colony in Southern Italy. Over twenty years, nearly six hundred sites, ranging in date from the prehistoric through the modern periods, were documented in an area of approximately forty square kilometers, resulting in a comprehensive record of the chora's occupation and settlement over the course of more than six thousand years. This volume presents compelling new documentation of the expansive nature and dense population of rural settlement in the western Greek colonies.The larger archaeological survey is complemented by specialist studies on the environment and landscape (geology and geomorphology), the classes of artifacts (stone tools, ceramics, and metal objects) of greatest cultural and chronological significance, and the methods and procedures employed before, during, and after the fieldwork. This volume is also one of the first studies of its kind to employ Geographic Information Systems software (GIS), remotely-sensed data (aerial photography, satellite imagery, digital terrain models), mathematical modeling, and three-dimensional rendering as the platform for spatial analysis and interpretation, alongside traditional statistical analyses using databases. The text is richly illustrated with hundreds of line drawings, photographs, and maps, and a separate large-format atlas will contain detailed maps of the entire study area.

This book constitutes the refereed proceedings of the 5th International Conference on Independent Component Analysis and Blind Source Separation, ICA 2004, held in Granada, Spain, in September 2004. The 156 revised papers presented were carefully reviewed and selected from 203 submissions. The papers are organized in topical sections on theory and foundations, linear models, covolutive models, nonlinear models, speech processing applications, image processing applications, biomedical applications, and other applications.

This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evolutionary systems).

This book constitutes, together with its companion, LNCS 2085, the refereed proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, held in Granada, Spain, in June 2001. The 200 revised papers presented were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in sections on foundations of connectionism, biophysical models of neurons, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, artificial intelligence and congnitive processes, methodology for nets design, nets simulation and implementation, bio-inspired systems and engineering, and other applications in a variety of fields.

This book constitutes, together with its companion LNCS 2084, the refereed proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, held in Granada, Spain in June 2001. The 200 revised papers presented were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in sections on foundations of connectionism, biophysical models of neurons, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, artificial intelligence and cognitive processes, methodology for nets design, nets simulation and implementation, bio-inspired systems and engineering, and other applications in a variety of fields.

Artificial neural networks are massively parallelinterconnected networks ofsimple elements which areintended to interact with the objects of the real world inthe same way as biological nervous systems do. Interest inthese networks is due to the opinion that they are able toperform tasks like image and speech recognition that haveonly been implemented in limited ways by traditionalcomputing methods.This book includes invited lectures and the fullcontributions to the International Workshop onArtificialNeural Networks held in Granada, Spain, September 17-19,1991. The workshop was sponsored by the IEEE ComputerSociety, the Spanish Association for Computing andAutomatics, and the University of Granada. The contributionswere selected by an international program committee; theauthors of the papers come from 12 countries. The book isorganized in six sections, covering: - Neural networktheories and neural models - Biological perspectives -Neural network architectures and algorithms - Softwaredevelopments and tools - Hardware implementations -Applications.

Neural computation arises from the capacity of nervoustissue to process information and accumulate knowledge in anintelligent manner. Conventional computational machines haveencountered enormous difficulties in duplicatingsuchfunctionalities. This has given rise to the development ofArtificial Neural Networks where computation is distributedover a great number of local processing elements with a highdegree of connectivityand in which external programming isreplaced with supervised and unsupervised learning. The papers presented in this volume are carefully reviewedversions of the talks delivered at the InternationalWorkshop on Artificial Neural Networks (IWANN '93) organizedby the Universities of Catalonia and the Spanish OpenUniversity at Madrid and held at Barcelona, Spain, in June1993. The 111 papers are organized in seven sections:biological perspectives, mathematical models, learning,self-organizing networks, neural software, hardwareimplementation, and applications (in five subsections:signal processing and pattern recognition, communications,artificial vision, control and robotics, and otherapplications).

We present in this volume the collection of finally accepted papers for the ninth e- tion of the IWANN conference (“International Work-Conference on Artificial Neural Networks”). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evo- tionary systems). Since the first edition of IWANN in Granada (LNCS 540, 1991), the computational intelligence community and the domain itself have matured and evolved. Under the computational intelligent banner we find a very heterogeneous scenario with a main interest and objective: to better understand nature and natural entities for the correct elaboration of theories, models and new algorithms. For scientifics, engineers and professionals working in the area, this is a very good way to get real, solid and c- petitive applications. More and more, these new computational techniques are used in applications that try to bring a new situation of well-being to the user. The conjunction of a more and more miniaturized hardware together with the growing computational intelligence embodied in this hardware leads us towards fully integrated embedded systems-on- chip and opens the door for truly ubiquitous electronics.

This volume presents the set of final accepted papers for the tenth edition of the IWANN conference “International Work-Conference on Artificial neural Networks” held in Salamanca (Spain) during June 10–12, 2009. IWANN is a biennial conference focusing on the foundations, theory, models and applications of systems inspired by nature (mainly, neural networks, evolutionary and soft-computing systems). Since the first edition in Granada (LNCS 540, 1991), the conference has evolved and matured. The list of topics in the successive Call for - pers has also evolved, resulting in the following list for the present edition: 1. Mathematical and theoretical methods in computational intelligence. C- plex and social systems. Evolutionary and genetic algorithms. Fuzzy logic. Mathematics for neural networks. RBF structures. Self-organizing networks and methods. Support vector machines. 2. Neurocomputational formulations. Single-neuron modelling. Perceptual m- elling. System-level neural modelling. Spiking neurons. Models of biological learning. 3. Learning and adaptation. Adaptive systems. Imitation learning. Reconfig- able systems. Supervised, non-supervised, reinforcement and statistical al- rithms. 4. Emulation of cognitive functions. Decision making. Multi-agent systems. S- sor mesh. Natural language. Pattern recognition. Perceptual and motor functions (visual, auditory, tactile, virtual reality, etc.). Robotics. Planning motor control. 5. Bio-inspired systems and neuro-engineering. Embedded intelligent systems. Evolvable computing. Evolving hardware. Microelectronics for neural, fuzzy and bio-inspired systems. Neural prostheses. Retinomorphic systems. Bra- computer interfaces (BCI). Nanosystems. Nanocognitive systems.