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A particularly advantageous attribute of the technique is the unsupervised training procedure of the proposed network.
In this study, a novel framework is developed for fully unsupervised training and online anomaly detection.
The present article demonstrates a way of formulating a neuro-fuzzy approach for feature extraction under unsupervised training.
Ter-Hovhannisyan, V., Lomsadze, A., Chernoff, Y. O. & Borodovsky, M. Gene prediction in novel fungal genomes using an ab initio algorithm with unsupervised training.
This method is based on unsupervised training of the parameters and subsequent construction of a new HMM by aligning and merging Viterbi decoded sequences.
While this framework is capable of computing basic logical functions and exhibiting interesting dynamic behaviors, methods for unsupervised training of the framework have not been identified.
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As an integrated environment including spiking trains encoding, input variable mapping, unsupervised reservoir training and supervised classifier training, the NeuCube consists of a spiking neural network reservoir (SNNr) and a dynamic evolving spiking neural network classifier (deSNN).
The unsupervised aerobic training programme included aerobic training four times per week, with 50 minutes of exercise each time.
Language-independent and unsupervised training-based approaches have also been considered within this program aiming at building a system for an unknown language [82].
The program's second, complementary form of intelligence reinforcement learning allows for a kind of unsupervised obedience training.
The program's second, complementary form of intelligence — reinforcement learning — allows for a kind of unsupervised obedience training.
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