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In this paper, classical protection techniques for error detection and correction are enriched with a system-aware approach, where the memory system is analyzed based on its role in the application.
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In addition, some advanced techniques for error-field compensation and assembly simulation using computer-aided design (CAD) have been developed.
Due to the use of two memristors per synapse, we utilize a novel technique for error back propagation.
The ICSPSO technique is such an excellent hybrid global random search technique for error minimization, and is structured incorporating the advantages of cuckoo search algorithm into particle swarm optimization (PSO) while the global searching capability is further accelerated by tuning the mutation operation of differential evolution (DE) technique.
Two-tailed independent t-tests were performed to determine whether there were significant differences between the robotic and manual techniques for targeting error, biopsy error, target displacement, procedure and manipulation time.
In this section, we describe the basic structure of the STT-RAM cell including its read/write operations (see the next section), sources of its errors (see "STT-RAM error model" section), and circuit-level techniques to reduce them (see "Circuit-level techniques for reducing error " section).
Techniques for unequal error protection (UEP) can be found, for example, in [18 21].
Existing techniques for mitigating error propagation can be classified into two groups.
Techniques for reducing error of the total fluid mass were also newly added to the OPT.
This work presents a genetic algorithm (GA) based evolution of optimal RBFN architecture and compares its performance with the conventional RBFN training procedure employing a two stage methodology, i.e. utilizing the k-means clustering algorithm for the unsupervised training in the first stage, and using linear supervised techniques for subsequent error minimization in the second stage.
With the development of HRA, many methodologies are established to analyze human errors, such technique for human error rate prediction (THERP) [12], cognitive reliability and error analysis method (CREAM) [13], human error assessment and reduction technique (HEART) [14], a technique for human error analysis (ATHEANA) [15].
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