神經網絡動態(tài)分析和優(yōu)化（英文版）

定　價：￥40.00

作　者：	楊剛
出版社：	中國環(huán)境科學出版社
叢編項：
標　簽：	暫缺

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ISBN：	9787511117687	出版時間：	2014-07-01	包裝：
開本：	16開	頁數(shù)：	124	字數(shù)：

內容簡介

　　《神經網絡動態(tài)分析和優(yōu)化（英文版）》以霍普菲爾德網絡和彈性網絡為重點，集中介紹了神經網絡算法的動態(tài)特性和控制方法，顯示了神經網絡復雜動態(tài)對網絡性能的重要影響；并在神經網絡動態(tài)分析的基礎上，給出了優(yōu)化神經網絡的有效方法和核心理論。《神經網絡動態(tài)分析和優(yōu)化（英文版）》的諸多方法和理論，展現(xiàn)了神經網絡算法在組合優(yōu)化問題上的優(yōu)勢，為神經網絡算法的優(yōu)化和應用，提供了啟發(fā)和指導思想；并且，《神經網絡動態(tài)分析和優(yōu)化（英文版）》進一步完善了神經網絡基礎理論，具有重要的理論和應用價值。

作者簡介

暫缺《神經網絡動態(tài)分析和優(yōu)化（英文版）》作者簡介

圖書目錄

1 BACKGROUND
1.1 Combinatorial optimization and NP-Hard problem
1.2 Traditional methods for combinatorial optimization
1.2.1 Local search
1.2.2 Genetic algorithm
1.2.3 Tabu search
1.2.4 Simulated annealing
1.3 Themes and contributions of the book
2 ARTIFICIAL NEURAL NETWORK
2.1 Biological neural network to artificial neural network
2.2 History of artificial neural network
2.3 Methods of neural networks
2.3.1 Hopfield neural network
2.3.2 Self-organizing map
2.3.3 Maximum neural network
2.3.4 Elastic net
2.4 Problems of neural network
3 IMPROVED HOPFIELD-TYPE NN WITH CHAOTIC DYNAMICS FOR MCP
3.1 Maximum clique problem
3.2 The analysis of HNN with chaotic dynamics
3.2.1 Chaotic neural networks
3.2.2 Transiently chaotic neural network
3.2.3 Relationship between TCNN and CNN
3.2.4 Analysis of parameter selection
3.3 A flexible TCNN for MCP
3.3.1 The flexible annealing strategy
3.3.2 Flexible TCNN and its dynamic analysis
3.3.3 Simulations
3.4 TCNN with filter method for MCP
3.4.1 Analysis on feasibility and adaptivity of TCNN
3.4.2 Algorithm description
3.4.3 Simulations
3.5 Delayed TCNN and its application on MCP
3.5.1 The flaw of variable delayed model
3.5.2 The delayed transiently chaotic neural network
3.5.3 Simulation
3.6 Summary
4 IMPROVED CHAOTIC MNN FOR COPS
4.1 Chaotic maximum neural network
4.2 Improved CMNN with stochastic dynamics for N-Queens
4.2.1 N-Queens problems
4.2.2 Dynamics analysis and Improvement of the CMNN with
stochastic dynamics for N-Queens problems
4.2.3 Algorithm description
4.2.4 Simulations
4.3 Chaotic MNN with flexible annealing strategy for MCP
4.3.1 Improved algorithm and its dynamics analysis
4.3.2 Simulations
4.4 Summary
5 IMPROVED ELASTIC NET FOR TRAVELING SAI-ESMAN PROBLEM
5.1 Elastic net for TSP
5.2 Efficiency analysis on elastic net
5.3 The improved algorithms based on Elastic Net
5.3.1 Rebuilt clone elastic net algorithm
5.3.2 The unsupervised up-to-bottom hierarchical clustering elas.
tic net algorithm
5.3.3 Simulation
5.4 Summary
6 SUMMARY AND FUTURE WORK
6.1 Summary of this book
6.2 Future work
BIBLIOGRAPHY