[PDF] Top 20 Tecnología y Educación Matemática
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Combining case-based reasoning with neural networks in diagnostic systems
... semantic networks and frames. The neural network used by NEXTOOL is the Combinatorial Neural Model (CNM), which stores knowledge complementary to that of the semantic ...the reasoning in the ... See full document
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Combining SOM and GA-CBR for Flow Time Prediction in Semiconductor Manufacturing Factory
... back-propagation neural networks (BPN) could be more effective than some traditional direct procedures for due date assignment since neural network can obtain a probable result even if the input data ... See full document
88
An investigation of machine learning based prediction systems
... arti®cial neural networks (ANNs), case-based reasoning (CBR) and rule induction ...prediction systems in terms of three factors: accuracy, explanatory value and ... See full document
23
Volume 01 Issue 06: (2012) Nov.- Dec. 2012
... important effect on the quality of a neural network based forecaster [5]. From this experiment it can be seen that optimal performance is obtained at the correct window dimension and training/test ... See full document
67
Reasoning With Neural Tensor Networks for Knowledge Base Completion
... facts based on existing facts in the knowledge ...sense reasoning is available and useful to ...novel neural tensor network which can explicitly relate two entity ...new neural tensor network ... See full document
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myEACBR - myCBR as explanation-aware Protégé plugin
... implementing myCBR was the need for a compact, easy-to-use tool for building prototype CBR applications in teaching, research, and small industry projects with minimal effort [6]. myCBR focuses on the ... See full document
82
A Hybrid Intelligent Decision Making System for Navigation with Optimized Performance
... model based on two soft computing techniques that is Neural Networks and Fuzzy Systems to optimize the performance of Navigation Systems in terms of speed and ... See full document
46
Complexity of Adaptation in Real World Case Based Reasoning Systems
... a case-based system called Rachman that can predict the selling value of a house given some details about ...large case base of houses and their selling prices and, given a house description, it will ... See full document
23
Application of Neural Networks for classification of Patau, Edwards, Down, Turner and Klinefelter Syndrome based on first trimester maternal serum screening data, ultrasonographic findings and patient demographics
... The usage of ANN in disease classification happens very often [15–27], though there have been only few studies investigating neural networks in genome-enabled predictions and classifications [28, 29]. As ... See full document
16
Abductive reasoning in neural-symbolic learning systems
... Permanent repository link: http://openaccess.city.ac.uk/292/ Link to published version: http://dx.doi.org/10.1007/s11245-006-9005-5 Copyright and reuse: City Research Online aims to make[r] ... See full document
22
Index Cost Estimation Using Case Based Reasoning Model Based on Macro BIM
... Cost estimation model for building projects using case-based reasoning. A case-based reasoning approach for estimating the costs of pump station 533[r] ... See full document
216
Integration of linked open data in case-based reasoning systems
... The third knowledge container we aimed at was the sim- ilarity measure. In our current project docQuery [Bach et al., 2010a] we use taxonomies of items e.g. diseases, lo- cations or medicaments to encode the similarity ... See full document
5
Disambiguating Highly Ambiguous Words
... In this paper, we continue to explore contextual representations by using neural networks to extract both topical and local contexts and combining the results of the two networks into a [r] ... See full document
59
Volume 53: Automated Verification of Critical Systems 2012
... To accommodate scalable proofs, we develop rely / guarantee-style proof methods where the rely condition is used to describe properties of the environment of a program. Previous methods for rely/guarantee ... See full document
219
Computer Aided Diagnostic Approach for Melanoma Diagnosis Using Neural Networks
... The neural networks are heuristically trained at diverse architectures starting from ten neurons inside the hidden layer to a more wide variety of neurons to perfectly delineate the choice ...a ... See full document
32
Recognizing animal-caused faults in power distribution systems using artificial neural networks.
... Therefore, artificial neural networks are used in this paper to recognize the causes of faults in power distribution systems, based on fault currents information collected for [r] ... See full document
7
Combining Recurrent and Convolutional Neural Networks for Relation Classification
... different neural architectures for the task of relation classi- fication: convolutional neural networks and recurrent neural ...convolutional neural networks for relation ... See full document
199
Computational Intelligence in Manufacturing Handbook Jun Wang pdf
... intelligent systems for designing, planning, monitoring, modeling, and controlling manufacturing sys- tems and ...processes. Neural networks have proved able to contribute to solving many problems in ... See full document
6
1. Breast cancer diagonsis using artifical neural network
... Artificial neural network has been widely used in various fields as an intelligent tool in recent years, such as artificial intelligence, pattern recognition, medical diagnosis, machine learning and so ...matrix ... See full document
14
Recent trends in neuromorphic engineering
... on Neural Networks, the IEEE Transactions on Cybernetics, and is an Editor of the IETE Journal of ...SVM based application VLSI ASIC, that contained an A/D converter using a bank of analog SVM ...and ... See full document
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