標(biāo)題: Titlebook: Neural Networks in the Analysis and Design of Structures; Zenon Waszczyszyn Conference proceedings 1999 Springer-Verlag Wien 1999 Applied [打印本頁] 作者: ABS 時(shí)間: 2025-3-21 17:15
書目名稱Neural Networks in the Analysis and Design of Structures影響因子(影響力)
書目名稱Neural Networks in the Analysis and Design of Structures影響因子(影響力)學(xué)科排名
書目名稱Neural Networks in the Analysis and Design of Structures網(wǎng)絡(luò)公開度
書目名稱Neural Networks in the Analysis and Design of Structures網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Neural Networks in the Analysis and Design of Structures被引頻次
書目名稱Neural Networks in the Analysis and Design of Structures被引頻次學(xué)科排名
書目名稱Neural Networks in the Analysis and Design of Structures年度引用
書目名稱Neural Networks in the Analysis and Design of Structures年度引用學(xué)科排名
書目名稱Neural Networks in the Analysis and Design of Structures讀者反饋
書目名稱Neural Networks in the Analysis and Design of Structures讀者反饋學(xué)科排名
作者: 肥料 時(shí)間: 2025-3-21 22:01
Neural Networks in Advanced Computational Problems,. This preprocessing is the partitioning of the finite element mesh into subdomains to ensure load balancing and minimum interprocessor communication during the parallel finite element analysis on a MIMD distributed memory computer.作者: 使更活躍 時(shí)間: 2025-3-22 01:35
0254-1971 ng being successfully introduced to structural problems which are difficult or even impossible to be analysed by standard computers (hard computing). The book is devoted to foundations and applications of NNs in the structural mechanics and design of structures.978-3-211-83322-3978-3-7091-2484-0Series ISSN 0254-1971 Series E-ISSN 2309-3706 作者: 過多 時(shí)間: 2025-3-22 04:40
Conference proceedings 1999h are difficult or even impossible to be analysed by standard computers (hard computing). The book is devoted to foundations and applications of NNs in the structural mechanics and design of structures.作者: malign 時(shí)間: 2025-3-22 10:11 作者: enmesh 時(shí)間: 2025-3-22 13:20 作者: 禁令 時(shí)間: 2025-3-22 18:07
interband transitions and the electron-phonon coupling parameter. The former information is also contained in the optical constants and can be obtained much more easily from transmission or reflectivity measurements. Also, in order to extract the scattering cross section from experiment and to inter作者: folliculitis 時(shí)間: 2025-3-22 21:28 作者: 怒目而視 時(shí)間: 2025-3-23 03:33 作者: 報(bào)復(fù) 時(shí)間: 2025-3-23 09:13 作者: STRIA 時(shí)間: 2025-3-23 13:46
P. D. Panagiotopoulos,Z. Waszczyszyn objective is to understand, in a basic way, how solid materials behave. To do this one needs both a good physical and mathematical background. One definition of Solid State Physics is it is the study of the physical (e.g. the electrical, dielectric, magnetic, elastic, and thermal) properties of sol作者: CULP 時(shí)間: 2025-3-23 13:56
Fundamentals of Artificial Neural Networks,its development and applications. The main attention is paid to feedforward NNs, especially to the error backpropagation algorithm and Back-Propagation Neural Networks (BPNNs). Data selection and preprocessing, learning methods, BPNN generalisation, multilayered NN architectures and radial basis fun作者: 多樣 時(shí)間: 2025-3-23 20:11 作者: 清唱?jiǎng)?nbsp; 時(shí)間: 2025-3-23 22:19
Applications of Neural Networks in Modeling and Design of Structural Systems,Such computational models are placed in a broad category of soft-computing tools that span the gap between traditional procedural methods of computation on one side, and heuristics driven inference engines (non procedural methods) on the other. Of these, methods of neural computing and evolutionary 作者: Anthem 時(shí)間: 2025-3-24 06:11 作者: 最有利 時(shí)間: 2025-3-24 09:45
Neural Networks in Advanced Computational Problems,al networks and genetic algorithms may be utilised for preprocessing large finite element problems for parallel or distributed finite element analysis. This preprocessing is the partitioning of the finite element mesh into subdomains to ensure load balancing and minimum interprocessor communication 作者: flammable 時(shí)間: 2025-3-24 11:52 作者: FLAX 時(shí)間: 2025-3-24 17:26
Zenon WaszczyszynFoundations and applications of artificial neural networks in mechanics of structures and materials are discussed.Direct and inverse problems of structural engineering are considered using neural netw作者: antiquated 時(shí)間: 2025-3-24 20:35
CISM International Centre for Mechanical Scienceshttp://image.papertrans.cn/n/image/663725.jpg作者: obeisance 時(shí)間: 2025-3-24 23:59 作者: cuticle 時(shí)間: 2025-3-25 05:38
Conference proceedings 1999h are difficult or even impossible to be analysed by standard computers (hard computing). The book is devoted to foundations and applications of NNs in the structural mechanics and design of structures.作者: 人類學(xué)家 時(shí)間: 2025-3-25 10:11 作者: Gratulate 時(shí)間: 2025-3-25 11:40 作者: Costume 時(shí)間: 2025-3-25 17:35
Neural Networks in the Analysis and Design of Structures作者: 使聲音降低 時(shí)間: 2025-3-25 20:47 作者: CHOKE 時(shí)間: 2025-3-26 00:38
Z. Waszczyszyndy of different electron-phonon coupling mechanism at different gaps of semiconductors. The availability of laser sources with different frequencies controls, still to a large extent, the choice of materials and gaps to be investigated today. The phonons, which can be selected to probe the electron-作者: Awning 時(shí)間: 2025-3-26 05:25 作者: heterodox 時(shí)間: 2025-3-26 09:27
P. Hajelahysics which includes liquids, soft materials, and non-crystalline solids. This solid state/condensed matter physics book begins with three broad areas: (1) How and why atoms bind together to form solids, (2) Lattice vibrations and phonons, and (3) Electrons in solids. It then applies these areas to作者: 合同 時(shí)間: 2025-3-26 13:01 作者: Keratin 時(shí)間: 2025-3-26 18:15
B. H. V. Topping,A. I. Khan,J. Sziveri,A. Bahreininejad,J. P. B. Leite,B. Cheng,P. Iványi作者: d-limonene 時(shí)間: 2025-3-27 00:48 作者: 非實(shí)體 時(shí)間: 2025-3-27 01:55
Applications of Neural Networks in Modeling and Design of Structural Systems,the field of structural synthesis. This summary includes the applications of neural networks in function modeling, in establishing causality in design data, in function optimization, and in diagnostics of structural systems.作者: 暴露他抗議 時(shí)間: 2025-3-27 07:21
The Neural Network Approach in Plasticity and Fracture Mechanics,cation problem. This problem is analyzed by means of two neural networks. The supervised learning of a simple backpropagation neural network interacts with the analysis of subsidiary equations by means of the Hopfield-Tank network.作者: 厭煩 時(shí)間: 2025-3-27 13:24 作者: 喪失 時(shí)間: 2025-3-27 16:33 作者: cajole 時(shí)間: 2025-3-27 20:20 作者: Prologue 時(shí)間: 2025-3-28 01:42
