Ari Nissinen. Neural and evolutionary computing in modeling of complex systems. PhD thesis, Control Engineering Laboratory, Helsinki University of Technology, 1999.Neural and Evolutionary Computing in Modeling o
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arXiv: Neural and evolutionary computing. http://arxiv.org/abs/1410.0759 Choi Y, El-Khamy M, Lee J (2017) Towards the limit of network quantization. In: 5th International conference on learning representations, ICLR 2017—conference track proceedings. http://arxiv.org/abs/1612.01543 Crankshaw...
This chapter will discussneural computationsin the neocortex that appear to play a role in pattern classification. We shall begin by noting the scalability of brain architecture and then focus on the evolutionary invention that enables this scalability, namely, the neocortical microcircuit. We will bri...
Much of recent machine learning has focused on deep learning, in which neural network weights are trained through variants of stochastic gradient descent. An alternative approach comes from the field of neuroevolution, which harnesses evolutionary algori
Machine learning plays an increasingly important role in many areas of chemistry and materials science, being used to predict materials properties, accelerate simulations, design new structures, and predict synthesis routes of new materials. Graph neural networks (GNNs) are one of the fastest growing ...
Khodadadi et al. [38] have created a multi-objective version of the Crystal Structure Algorithm (Crystal), which draws its inspiration from crystal structure principles. Completions on Evolutionary Computation (CEC-09), real-world engineering, and mathematics multi-objective optimization benchmark probl...
This paper provides amore biologically plausible evolutionary space by combining feedforward and feedback connections with excitatory and inhibitory neurons. We exploit the local spiking behavior of neurons to adaptively evolve neural circuits such as forward excitation,forward inhibition, feedback inhibition...
关键词: Computer Science - Neural and Evolutionary Computing Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning DOI: 10.48550/arXiv.1511.08458 被引量: 37 年份: 2015 收藏 引用 批量引用 报错 分享 全部来源 免费下载 求助全文 Semantic Scholar OALib arXiv.org adsabs...
Making use of population information in evolutionary artificial neural networks IEEE Transactions on Systems, Man and Cybernetics—Part B: Cybernetics, 28 (3) (1998), pp. 417-425 View in ScopusGoogle Scholar [47] Z.-H. Zhou, Y. Jiang, Y.-B. Yang, S.-F. Chen Lung cancer cell identifi...