Search Results - "Bhavsar, V.C."

Incremental communication for adaptive resonance theory networks by Ming Chen, Ghorbani, A.A., Bhavsar, V.C.

“…We have proposed earlier the incremental internode communication method to reduce the communication cost as well as the time of the learning process in…”
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On the convergence and origin bias of the Teaching-Learning-Based-Optimization algorithm by Pickard, J.K., Carretero, J.A., Bhavsar, V.C.

“…The effects of origin bias on the Teaching-Learning-Based-Optimization algorithm. [Display omitted] •A geometric interpretation is applied to explain…”
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Range Similarity and Satisfaction Measures for Buyers and Sellers in E-marketplaces by Yang, L., Sarker, B.K., Bhavsar, V.C., Boley, H.

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Network architectures for distributed computing by Bhavsar, V.C.

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Limited precision incremental communication: error analysis by Ghorbani, A.A., Bhavsar, V.C.

“…The effects of the limited precision incremental communication method on the convergence behavior and performance degradation of multilayer perceptrons are…”
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Inductive learning inability of artificial neural network by Bhavsar, V.C., Ghorbani, A.A., Goldfarb, L.

“…The intrinsic inability of artificial neural networks to generalize from examples, i.e., to learn inductively, is exemplified based on several very simple…”
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A Bottom-up Strategy for Query Decomposition by Le Thuy, L.T., Doan Dai Duong, Bhavsar, V.C., Boley, H.

“…In order to access data from various different data repositories, in global-as-view approaches an input query is decomposed into several subqueries. Normally,…”
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Towards a weighted-tree similarity algorithm for RNA secondary structure comparison by Jing Jin, Sarker, B.K., Bhavsar, V.C., Boley, H., Lu Yang

“…A tree similarity algorithm for RNA (ribonucleic acid) secondary structure comparison is presented. The elements (nucleotides and nucleotide-pairs) of an RNA…”
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Adaptive resonance theory networks using incremental communication by Chen, M., Ghorbani, A.A., Bhavsar, V.C.

“…The incremental inter-node communication method is applied to the adaptive resonance theory 2 (ART2) networks. The incremental communication is aimed at…”
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An efficient static assignment parallelization scheme for algebraic fractals by MacPhee, F.C., Bhavsar, V.C.

“…Although parallelization of algebraic fractal computations has been done in the past, the issue of efficient parallel computation has not been fully addressed…”
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An incremental parallel tangent learning algorithm for artificial neural networks by Nezami, A.R., Bhavsar, V.C., Ghorbani, A.A.

“…Ghorbani and Bhavasar (1993) proposed a modified backpropagation training algorithm using a deflecting gradient method-parallel tangent (Partan) gradient…”
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Training artificial neural networks using variable precision incremental communication by Ghorbani, A.A., Bhavsar, V.C.

“…We have earlier proposed incremental inter-node communication to reduce the communication cost as well as time of the learning process in artificial neural…”
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Incremental communication for multilayer neural networks by Ghorbani, A.A., Bhavsar, V.C.

“…A new method of inter-neuron communication called incremental communication is presented. In the incremental communication method, instead of communicating the…”
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Incremental communication for multilayer neural networks: error analysis by Ghorbani, A.A., Bhavsar, V.C.

“…Artificial neural networks (ANNs) involve a large amount of internode communications. To reduce the communication cost as well as the time of learning process…”
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Traversed geometric fractals by Gujar, U.G., Bhavsar, V.C., Choi, S.Y.M., Kalra, P.K.

“…Two basic components are required for generating a geometric fractal: an initiator and a generator. Multiple traversal strategies for both initiator and…”
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