The theoretical origin of a momentum term in the backpropagation algorithm is explained. It is proved that the backpropagation algorithm, which has a momentum term, can be derived through the following assumptions: (1) The cost function is E/sup n/= Sigma /E/sub p/, for p=1 to n, ...
Techniques for efficiently deriving a transmit steering matrix and sending feedback for this matrix are described. A receiver determines a set of parameters defining a transmit stee
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], ...
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...
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...
The algorithm combines the Error Backpropagation (EBP) algorithm with Variable Structure Systems (VSS) approach. Expressing the parameter update rule as a dynamic system in continuous time and applying sliding mode control (SMC) methodology to the dynamic model of the gradient based training procedure...
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. ...
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. ...
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 ...
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 ...