Membrane Computing Models: Implementations
portes grátis
Membrane Computing Models: Implementations
Konur, Savas; Hinze, Thomas; Verlan, Sergey; Perez-Jimenez, Mario J.; Zhang, Gexiang; Riscos-Nunez, Agustin; Gheorghe, Marian
Springer Verlag, Singapore
07/2021
279
Dura
Inglês
9789811615658
15 a 20 dias
678
Descrição não disponível.
Chapter 1 Introduction
1.1 General introduction of P systems implementation
1.2 Challenging problems of P systems implementation
1.3 Review of software implementations
1.4 Review of hardware implementations
1.5 Other implementation platforms
Chapter 2 P systems Implementation on P-Lingua framework
2.1 Overview
2.2 P-Lingua language for P systems variants
2.3 Simulation algorithms
2.4 MeCoSim
Chapter 3 Software implementation for P systems
3.1 Automatic design of cell-like P systems with P-Lingua
3.2 Automatic design of spiking neural P systems with P-Lingua
3.3 Modelling real ecosystems with MeCoSim
3.4 Robot motion planning
Chapter 4 Infobiotics Workbench - In Silico Software Suite for Computational Biology
4.1 Introduction
4.2 Stochastic P Systems
4.3 Software Description
4.3.1 Modelling
4.3.2 Simulation
4.3.3 Verification
4.3.4 Parameter Optimization
4.4 Case Studies
4.5 Next Generation Infobiotics
4.5.1 Prediction-based stochastic simulations
4.5.2 High-performance simulation and verification
4.5.3 Biocompilation
4.6 Conclusions and discussions
Chapter 5 Molecular Physics and Chemistry in Membranes: The Java Environment for Nature-inspired Approaches (JENA)
5.1 Motivation and Introduction
5.2 JENA at a Glance
5.3 JENA Descriptive Capacity
5.4 JENA Source Code Design
5.5 Selection of JENA Case Studies
Chapter 6 P systems Implementation on CUDA
6.1 Overview
6.2 Specific simulations
6.3 Generic simulations
6.4 Adaptative simulations
Chapter 7 P systems Implementation on FPGA
7.1 Introduction
7.2 FPGA Hardware
7.3 Generalized Numerical P systems (GNPS)
7.4 Implementing GNPS on FPGA
7.5 FPGA implementations of other models of P systems
7.6 Discussion
Chapter 8 Hardware implementations and applications
8.1 Knapsack problems with CUDA implementation
8.2 Robot membrane controllers with FPGA implementation
8.3 Robot path planning with FPGA implementation
8.4 Image processing with FPGA implementation
1.1 General introduction of P systems implementation
1.2 Challenging problems of P systems implementation
1.3 Review of software implementations
1.4 Review of hardware implementations
1.5 Other implementation platforms
Chapter 2 P systems Implementation on P-Lingua framework
2.1 Overview
2.2 P-Lingua language for P systems variants
2.3 Simulation algorithms
2.4 MeCoSim
Chapter 3 Software implementation for P systems
3.1 Automatic design of cell-like P systems with P-Lingua
3.2 Automatic design of spiking neural P systems with P-Lingua
3.3 Modelling real ecosystems with MeCoSim
3.4 Robot motion planning
Chapter 4 Infobiotics Workbench - In Silico Software Suite for Computational Biology
4.1 Introduction
4.2 Stochastic P Systems
4.3 Software Description
4.3.1 Modelling
4.3.2 Simulation
4.3.3 Verification
4.3.4 Parameter Optimization
4.4 Case Studies
4.5 Next Generation Infobiotics
4.5.1 Prediction-based stochastic simulations
4.5.2 High-performance simulation and verification
4.5.3 Biocompilation
4.6 Conclusions and discussions
Chapter 5 Molecular Physics and Chemistry in Membranes: The Java Environment for Nature-inspired Approaches (JENA)
5.1 Motivation and Introduction
5.2 JENA at a Glance
5.3 JENA Descriptive Capacity
5.4 JENA Source Code Design
5.5 Selection of JENA Case Studies
Chapter 6 P systems Implementation on CUDA
6.1 Overview
6.2 Specific simulations
6.3 Generic simulations
6.4 Adaptative simulations
Chapter 7 P systems Implementation on FPGA
7.1 Introduction
7.2 FPGA Hardware
7.3 Generalized Numerical P systems (GNPS)
7.4 Implementing GNPS on FPGA
7.5 FPGA implementations of other models of P systems
7.6 Discussion
Chapter 8 Hardware implementations and applications
8.1 Knapsack problems with CUDA implementation
8.2 Robot membrane controllers with FPGA implementation
8.3 Robot path planning with FPGA implementation
8.4 Image processing with FPGA implementation
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Membrane computing;P system;P-Lingua;MeCoSim;CUDA;FPGA;robots;ecosystem modelling;Infobiotics, bioinformatics
Chapter 1 Introduction
1.1 General introduction of P systems implementation
1.2 Challenging problems of P systems implementation
1.3 Review of software implementations
1.4 Review of hardware implementations
1.5 Other implementation platforms
Chapter 2 P systems Implementation on P-Lingua framework
2.1 Overview
2.2 P-Lingua language for P systems variants
2.3 Simulation algorithms
2.4 MeCoSim
Chapter 3 Software implementation for P systems
3.1 Automatic design of cell-like P systems with P-Lingua
3.2 Automatic design of spiking neural P systems with P-Lingua
3.3 Modelling real ecosystems with MeCoSim
3.4 Robot motion planning
Chapter 4 Infobiotics Workbench - In Silico Software Suite for Computational Biology
4.1 Introduction
4.2 Stochastic P Systems
4.3 Software Description
4.3.1 Modelling
4.3.2 Simulation
4.3.3 Verification
4.3.4 Parameter Optimization
4.4 Case Studies
4.5 Next Generation Infobiotics
4.5.1 Prediction-based stochastic simulations
4.5.2 High-performance simulation and verification
4.5.3 Biocompilation
4.6 Conclusions and discussions
Chapter 5 Molecular Physics and Chemistry in Membranes: The Java Environment for Nature-inspired Approaches (JENA)
5.1 Motivation and Introduction
5.2 JENA at a Glance
5.3 JENA Descriptive Capacity
5.4 JENA Source Code Design
5.5 Selection of JENA Case Studies
Chapter 6 P systems Implementation on CUDA
6.1 Overview
6.2 Specific simulations
6.3 Generic simulations
6.4 Adaptative simulations
Chapter 7 P systems Implementation on FPGA
7.1 Introduction
7.2 FPGA Hardware
7.3 Generalized Numerical P systems (GNPS)
7.4 Implementing GNPS on FPGA
7.5 FPGA implementations of other models of P systems
7.6 Discussion
Chapter 8 Hardware implementations and applications
8.1 Knapsack problems with CUDA implementation
8.2 Robot membrane controllers with FPGA implementation
8.3 Robot path planning with FPGA implementation
8.4 Image processing with FPGA implementation
1.1 General introduction of P systems implementation
1.2 Challenging problems of P systems implementation
1.3 Review of software implementations
1.4 Review of hardware implementations
1.5 Other implementation platforms
Chapter 2 P systems Implementation on P-Lingua framework
2.1 Overview
2.2 P-Lingua language for P systems variants
2.3 Simulation algorithms
2.4 MeCoSim
Chapter 3 Software implementation for P systems
3.1 Automatic design of cell-like P systems with P-Lingua
3.2 Automatic design of spiking neural P systems with P-Lingua
3.3 Modelling real ecosystems with MeCoSim
3.4 Robot motion planning
Chapter 4 Infobiotics Workbench - In Silico Software Suite for Computational Biology
4.1 Introduction
4.2 Stochastic P Systems
4.3 Software Description
4.3.1 Modelling
4.3.2 Simulation
4.3.3 Verification
4.3.4 Parameter Optimization
4.4 Case Studies
4.5 Next Generation Infobiotics
4.5.1 Prediction-based stochastic simulations
4.5.2 High-performance simulation and verification
4.5.3 Biocompilation
4.6 Conclusions and discussions
Chapter 5 Molecular Physics and Chemistry in Membranes: The Java Environment for Nature-inspired Approaches (JENA)
5.1 Motivation and Introduction
5.2 JENA at a Glance
5.3 JENA Descriptive Capacity
5.4 JENA Source Code Design
5.5 Selection of JENA Case Studies
Chapter 6 P systems Implementation on CUDA
6.1 Overview
6.2 Specific simulations
6.3 Generic simulations
6.4 Adaptative simulations
Chapter 7 P systems Implementation on FPGA
7.1 Introduction
7.2 FPGA Hardware
7.3 Generalized Numerical P systems (GNPS)
7.4 Implementing GNPS on FPGA
7.5 FPGA implementations of other models of P systems
7.6 Discussion
Chapter 8 Hardware implementations and applications
8.1 Knapsack problems with CUDA implementation
8.2 Robot membrane controllers with FPGA implementation
8.3 Robot path planning with FPGA implementation
8.4 Image processing with FPGA implementation
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
