Quantum Hopfield neural network por Rebentrost, Patrick, Bromley, Thomas R., Weedbrook, Christian, Lloyd, Seth

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On the analysis of the Hopfield network : a geometric approach por Akra, Mohamad A. (Mohamad Ahmad)

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On the analysis of the Hopfield network : a geometric approach por Akra, Mohamad A. (Mohamad Ahmad)

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Scalable multistate spin orbit torque memory device for hopfield network por Tan, Malvin Yee Phang

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Developing Agent Based Modeling For Logic Programming And Reverse Analysis For Hopfield Network por Ng, Pei Fen

“…To choose the best and efficient method to obtain the global minima among Wan Abdullah method (use McCulloch-Pitts updating rule in Hopfield net), Boltzmann machine and Hyperbolic Tangent activation functions, a comparison table will be created in this thesis. …”
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Study of recall time of associative memory in a memristive Hopfield neural network por Kong, Deyu, Hu, Shaogang, Wang, Junjie, Liu, Zhen, Chen, Tupei, Yu, Qi, Liu, Yang

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Noise injection into inputs in sparsely connected Hopfield and winner-take-all neural networks por Wang, Lipo.

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FAULT DIAGNOSIS METHOD OF SUBMERSIBLE SEWAGE PUMP BASED ON IMPROVED HOPFIELD NEURAL NETWORK por WANG Hui, LI NanQi, YANG ZhiPeng, ZHAO GuoChao, TIAN LiYong

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Quantum-implementable selective reconstruction of high-resolution images por Peruš, M., Bischof, H., Caulfield, H.J., Loo, C.K.

“…The main limitations of the classical Hopfield net are much reduced with the simulated new quantum-optical implementation.…”
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Associative memory based image and object recognition by quantum holography por Loo, C.K., Peruš, M., Bischof, H.

“…This brings many advantages over classical Hopfield neural nets and quantum computers with logic gates.…”

Solving optimization problems in communications using neural networks por Liu, Wen

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Energy Functions for Early Vision and Analog Networks por Yuille, Alan

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Solving combinatorial optimization problems using augmented lagrange chaotic simulated annealing por Wang, Lipo., Tian, Fuyu, Soong, Boon Hee, Wan, Chunru

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Convergence properties of 2-state neural networks with associate memory por Lim, Tee Hong.

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Robust neural controller for robot manipulator por Lou, Jia Ming

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Rock cavern design and performance auditing using neuralised rock engineering systems por Cai, Jungang

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Housing price prediction using neural networks por Liu, Zhaoying

“…There are more than 40 different kinds of neural network models, the most common ones are Multilayer Perceptron (MLP), Hopfield net, Boltzmann Machine, Backpropagation (BP) net, etc. …”
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Solar PV parameter forecast using generalized neural networks por Ong, Pei Qi

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Associative memories via predictive coding por Salvatori, T, Song, Y, Hong, Y, Sha, L, Frieder, S, Xu, Z, Bogacz, R, Lukasiewicz, T

“…In an extensive comparison, we show that this new model outperforms in retrieval accuracy and robustness popular associative memory models, such as autoencoders trained via backpropagation, and modern Hopfield networks. In particular, in completing partial data points, our model achieves remarkable results on natural image datasets, such as ImageNet, with a surprisingly high accuracy, even when only a tiny fraction of pixels of the original images is presented. …”

Analog "Neuronal" Networks in Early Vision por Koch, Christof, Marroquin, Jose, Yuille, Alan

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