Different neural assemblies (reflecting distinct eigenvectors of the connectivity matrices) can simultaneously and independently display different properties in terms of stability, propagation speed or direction. We also derive continuous-limit versions of the system, both in time and in neural space. ...
The algorithm is a neural network (NN) which is used to parameterize the inverse of a radiative transfer model. It is used in this study as a multiple nonlinear regression technique. The NN is a feedforward backpropagation model with two hidden layers. The NN was trained with computed ...
A Fast Fourier Transform algorithm for the deconvolution of electron energy loss processes and instrumental broadening functions from Auger lineshapes is p... KW Nebesny,NR Armstrong - 《Journal of Electron Spectroscopy & Related Phenomena》 被引量: 32发表: 1986年 Optimal 2D-SIM reconstruction by ...
FIG. 2 is a flow diagram of a method for automated derivation of response time service level objectives, in accordance with one embodiment. FIG. 3 is a pseudo-code of an exemplary ADSLO algorithm in accordance with one embodiment. FIGS. 4 and 5 are block diagrams of hardware and software...
This chapter contains sections titled: Relaxation Searches, Easy and Hard Learning, The Boltzmann Machine Learning Algorithm, An Example of Hard Learning, Achieving Reliable Computation with Unreliable Hardware, An Example of the Effects... GE Hinton,TJ Sejnowski - MIT Press 被引量: 1486发表: 0年...
3D TLM Frequency Domain Schemes The frequency-domain TLM algorithm can be based on any time-domain TLM node. However, the less restrictive requirements of FD-TLM (no time synchronism condition) permits the modeller to easily avoid the use of stubs. Two di erent FD-TLM schemes 6, 7], ...
3.2. Method of manufactured solutions The method of manufactured solutions (MMS) is a rigorous way to check the correctness of a numerical method's implementation [29], [30], [31]. The overall algorithm involves constructing a manufactured solution ϕm for the prognostic variable(s) ϕ and...
Recursive auto-associative memory (RAAM) has become established in the connectionist literature as a key contribution in the strive to develop connectionist representations of symbol structures. However, RAAMs use the backpropagation algorithm and therefore can be difficult to train and slow to learn. ...
If the estimated secondary path model is not perfect, its adverse effects considering both the stability aspect of the feedback loop and the performance issues, such as convergence and stability, of the FXLMS-based adaptive algorithm must be analyzed. The previous research [7] gives examples of ...
Herein, based on phase compensation, we employed GLPSO, which is more advanced than PSO, GLSPO combines Genetic Algorithm (GA) and PSO, and whenever an iteration is performed, the entire cluster moves in the optimization direction and causes specific objects to mutate and converge to the ...