Results 51 to 60 of about 4,805,610 (298)
Multi Layer Perceptron Modelling in the Housing Market
Malaysian Management Journal, 1999 The study examines the use of multi layer perception network (MLP) in predicting the price of terrace houses in Kuala Lumpur (KL). Nine factors that significantly influence the price were used in this attempt.
Ku Ruhana Ku Mahamud +2 more
doaj
On‐Chip Photonic Neural Network Architectures
Advanced Optical Materials, EarlyView.This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
Research of Online Error Prediction and Parallel Algorithm for Voltage Transformer in Smart Grid
Measurement Science ReviewOnline voltage transformer error prediction is an important research direction in the field of smart grids. This article mainly focuses on the online error prediction and the parallelization method of voltage transformers. First, an optimized multi-layer
Xin Xianfeng +8 more
doaj +1 more source
Multi-Layer Perceptron with Pulse Glial Chain
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2016 A glia is a nervous cell in the brain. Currently, the glia is known as a important cell for the human’s cerebration. Because the glia transmits signals to neurons and other glias. We notice features of the glia and consider to apply it for an artificial neural network. In this paper, we propose a Multi-layer perceptron (MLP) with pulse glial chain. The
Chihiro Ikuta +3 more
openaire +2 more sources
Glowworm Swarm Optimisation for Training Multi-Layer Perceptrons [PDF]
Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, 2017 Training multi-layer perceptron (MLP) is non-trivial due to its non-linear nature and the presence of large number of local optima. Meta-heuristic algorithms may solve this problem efficiently. In this paper, we investigate the use of glowworm swarm optimisation (GSO) algorithm in training the MLP neural network.
Dabiah Ahmed Alboaneen +2 more
openaire +2 more sources
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
发电技术ObjectivesIn cold regions, the icing problem on wind turbine blades significantly reduces power generation efficiency and increases safety risks, making accurate icing prediction technology crucial. To improve the accuracy of ice accretion prediction for
HAN Bin +4 more
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Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
Advanced Science, EarlyView.This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Advancements in Multi-Layer Perceptron Training to Improve Classification Accuracy [PDF]
, 2017 Neural Networks are the popular classification tools used in Medical diagnosis for early disease detection. The performance of Neural Networks is highly depended on the training process. In the training process, the individual weights between each of the
, K. Hemalatha, K. Usha Rani
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Modelling the Chemical and Microbial Changes of Saffron Flower during Storage Using Artificial Neural Networks and Genetic Algorithm [PDF]
Zirā̒at va Fanāvarī-i Za̒farān, 2017 Saffron, as the most expensive agricultural and pharmaceutical product of the world, has a special value among plants. Since the Saffron harvesting period is short, its storage for later processing requires understanding the most effective factors ...
Elham Azarpazhooh +2 more
doaj +1 more source