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Biologically-inspired computing.

概要

作品:	12 作品在 12 項出版品 12 種語言

書目資訊

Dynamical systems, wave-based computation and neuro-inspired robots by: (書目-電子資源)

System and circuit design for biologically-inspired learning by: (書目-電子資源)

Bio-inspired artificial intelligence = theories, methods, and technologies / by: (書目-電子資源)

Transactions on computational science XV = special issue on advances in autonomic computing : formal engineering methods for nature-inspired computing systems / by: (書目-電子資源)

Bioinspired computation in combinatorial optimization = algorithms and their computational complexity / by: (書目-電子資源)

Applications of Computational Intelligence in Biology = Current Trends and Open Problems / by: (書目-電子資源)

Web service mining = application to discoveries of biological pathways / by: (書目-電子資源)

Parallel architectures and bioinspired algorithms by: (書目-電子資源)

Bio-inspired computing and networking by: (書目-電子資源)

DNA Computing Models by: (書目-電子資源)

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主題

Bioinformatics.

Artificial intelligence- Biological applications.

Robots- Dynamics.

Electronics and Microelectronics, Instrumentation.

Autonomous robots.

Formal methods (Computer science)

Computer Communication Networks.

Logic circuits.

Theory of Computation.

Computer Science.

Computer Appl. in Life Sciences.

Sensorimotor integration.

Computer Systems Organization and Communication Networks.

Self-organizing systems- Data processing.

Logics and Meanings of Programs.

Information Systems Applications (incl.Internet)

Computational intelligence.

Biologically-inspired computing.

Artificial Intelligence (incl. Robotics)

Biology- Mathematical models.

Artificial intelligence- Data processing.

Molecular computers.

Computational Intelligence.

Computer networks.

Appl.Mathematics/Computational Methods of Engineering.

Computational Biology/Bioinformatics.

Theoretical and Computational Chemistry.

Parallel processing (Electronic computers)

Self-organizing systems.

Database Management.

Engineering Design.

Software Engineering.

Algorithm Analysis and Problem Complexity.

Neural networks (Computer science)

Computer science- Research.

Combinatorial optimization.

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