RF Tree and Confusion Matrix for Random Forest. حسب Gaurav Sandeep Dave (21519884)

The parameter setting of the evolutionary neural network. حسب Wenbing Shi (5806160)

الموضوعات:

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

The optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Impact of multiunit merging on neural information encoding. حسب Daniel Suárez-Barrera (22676654)

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Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" حسب Yize Wang (19535173)

"…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…"

code_4 حسب Olga Ovtsarenko (20432033)

The genetic algorithm. حسب Viktoria Zemliak (19500335)

Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. حسب Dinh K. Tang (20469082)

Code for "Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset" حسب Yufeng Ke (16539882)

The folder containing the code is provided as supportive documentation associated with this paper. حسب Quxi Kuang (22493270)

Comparison of optical and silicon-based neural network implementations. حسب Reyhane Ahmadi (14857363)

الموضوعات:

Hardware_code. حسب Mehdi Nadiri Andabili (22097275)

Software_code. حسب Mehdi Nadiri Andabili (22097275)

Pseudo code. حسب Xuwei Liu (6034592)

Temporal response patterns determined by the GMM clustering algorithm across varying primary stimulus parameters (amplitude or onset ramp velocity) of all test stimuli. حسب Dinh K. Tang (20469082)

Source Code and Dataset حسب Swathi Ganesan (14394924)

Comparison of power consumption in optical and silicon-based neural network implementations. حسب Reyhane Ahmadi (14857363)

الموضوعات:

Accuracy of different electrical and optical neural networks for various input noise levels. حسب Reyhane Ahmadi (14857363)

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