Building and developing agent based modelling for higher order logic in neuro symbolic integration. by Sathasivam, Saratha

“…We will test ABM for this upgraded method (higher order logic programming, Hopfield network, Boltzmann machine and activation function in some real life and simulated data sets. …”

Process Planning Optimization In Reconfigurable Manufacturing Systems by Musharavati, Farayi

“…As evidenced by the relative performances of the implemented cooperative schemes, a genetic search is better than a simulated annealing search in the Boltzmann Machine Architecture. In addition, little performance gain can be realized through parallelism in the Boltzmann Machine Architecture. …”
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Baby cry recognition using deep neural networks by Yong, B.F., Ting, H.N., Ng, K.H.

“…Stacked restricted Boltzmann machine (RBN) is popular in providing few layers of neural networks to convert the high dimensional data to lower dimensional data to fine tune the input data to a better initialized weight for the neural networks. …”
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Developing Agent Based Modeling For Logic Programming And Reverse Analysis For Hopfield Network by Ng, Pei Fen

“…However, there is no guarantee to find the best minimum in the network. Thus, Boltzmann Machines and Hyperbolic Tangent activation function are being introduced to overcome this problem. …”
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Anti-spoofing method for fingerprint recognition using patch based deep learning machine by Uliyan, Diaa Mohammed, Sadeghi, Somayeh, Jalab, Hamid Abdullah

“…The proposed method used Discriminative Restricted Boltzmann Machines to recognize fingerprints accurately against fabricated materials used for spoofing. © 2019 Karabuk University…”