Statistical physics books

An Analog VLSI System for Stereoscopic Vision investigates the interaction of the physical medium and the computation...  Read More >>

Reinforcement learning is the learning of a mapping from situations to actions so as to maximize a scalar reward...  Read More >>

The motion of a particle in a random potential in two or more dimensions is chaotic, and the trajectories in deterministically...  Read More >>

Proceedings of the NATO Advanced Study Institute, Varenna, Italy, July 25--August 5, 1994  Read More >>

On August 12th 2000, The Deng Feng Wang Memorial Conference was held at Deng Feng Wang's mater, Princeton University,...  Read More >>

Some of the scientists have subsequently presented their problems in the IMA Seminar on Industrial Problems. The...  Read More >>

Are there universal laws governing the persistence of weather, and is it possible to predict climate transitions...  Read More >>

Engineers have long been fascinated by how efficient and how fast biological neural networks are capable of performing...  Read More >>

Proves that chemotons possess the general properties of living systems and at the same time every living system...  Read More >>

Neural Networks in Telecommunications consists of a carefully edited collection of chapters that provides an overview...  Read More >>

This volume contains the courses given at the Sixth Summer School on Complex Systems held at Facultad de Ciencias...  Read More >>

Contains thirteen papers covering a variety of AI topics ranging from computer vision and robotics to intelligent...  Read More >>

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Beyond the basics, a number of more advanced topics are introduced, such as conformal field theory, superstrings...  Read More >>

arise automatically as a result of the recursive structure of the task and the continuous nature of the SRN's state...  Read More >>

Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection...  Read More >>

Part I eases the mainstream reader into the ideas of the new paradigm by providing the reader with a discussion...  Read More >>

Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms,...  Read More >>

The introductory chapter, ""Global Analysis of Recurrent Neural Net­ works,"" by Andreas Herz presents an in-depth...  Read More >>

It rapidly adapts to other sensors: it learned to drive at night using laser reflectance imaging, and by using a...  Read More >>

Networks of Learning Automata: Techniques for Online Stochastic Optimization is a comprehensive account of learning...  Read More >>

This text examines some of the recent advances in the development of a theoretical framework for studying neural...  Read More >>

One SCI\'ice mathematics bas rendered the 'Et moi, ...si j'avait su comment en revcnir. je n'y serais point aile:...  Read More >>

As the laminar and the turbulent flows play an important role in the processes of evolution in the open systems,...  Read More >>

In these last years Black hole Physics has developed rapidly both from theoretical and observational aspects: especially...  Read More >>