The simplest implementation of back-propagation learning updates the network weights and biases in the direction of performance function decreasing.
By simultaneous implementation of back-propagation ANN and feed-forward ANFIS modeling on the experimental data obtained from thermogravimetric analysis (TGA) method, thermal degradation behavior of various compositions of NY6/FK blends was successfully predicted with minimum mean square errors (MSE).
CISA mandates the implementation of secret "back doors" around encryption for personal communication.
The loss of GVPN connectivity required the implementation of a back-up arrangement.
CBS had an early implementation of Facebook Connect back in September, nearly 8 months ago.
In this case, the application of an implementation of the filtered back projection (FBP) algorithm after the so-called flat fielding of the projection data is often proposed as a solution for the tomographic problem.
Both Davies and Reeves [ 5, 6] state that the impact on the subsequent evaluations of patient evaluation with feedback of results to the organisation and team discussions may not only be due to the implementation of the fed back results but also to the intensified awareness of the staff due to repeted evaluations.
The authentication module abstraction allows for a straightforward implementation of alternative authentication back-ends (OpenId, Kerberos, etc)., which makes it possible for RegaDB to connect to existing user management systems.
The potential for cost savings and better cost-effectiveness of the STarT-approach has been demonstrated by Hill et al. in a large randomized controlled trial [ 11] and is also supported by the results from a prospective population-based sequential comparison observing the implementation of the STarT-Back-Approach in routine health care [ 13].
In this contribution, we analyzed the respective techniques for state-of-the-art implementations of different back-end types, thus, considered traditional GMM-HMM systems, their extension subspace GMM-HMM (SGMM-HMM), as well as deep neural nets serving as acoustic model in a DNN-HMM system.
