Artificial neural

Xem 1-20 trên 66 kết quả Artificial neural
  • The potential value of artificial neural networks (ANNs) as a predictor of malignancy has now been widely recognised. The concept of ANNs dates back to the early part of the 20th century; however, their latest resurrection started in earnest in the 1980s when they were applied to many problems in the areas of pattern recognition, control, and optimisation.

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  • Chapter 3: Artificial neural networks Introduction; ANN representations, Perceptron Training, Multilayer networks and Backpropagation algorithm, Remarks on the Backpropagation algorithm, Neural network application development, Benefits and limitations of ANN, ANN Applications.

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  • Rule Extraction from Artificial Neural Networks includes The train problem, Motivations, Feedforward neural networks for classification, Rulle exttractition ffrom neurall nettworkks Examples, Different types of classification rules, RegressionRegression rulesrules, Hierarchical rules.

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  • This study corrected and supplemented the broken segments, then use the corrected and supplemented curves to calculate porosity. The porosity calculated in this study for 9 wells has been used by JVPC to build the mining production technology diagrams, whle the existing softwares can not calculate this parameter. The testing result proves that the Artificial Neural Network model (ANN) of this study is great tool for correction and supplementing of the well log curves.

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  • This book covers 27 articles in the applications of artificial neural networks (ANN) in various disciplines which includes business, chemical technology, computing, engineering, environmental science, science and nanotechnology. They modeled the ANN with verification in different areas. They demonstrated that the ANN is very useful model and the ANN could be applied in problem solving and machine learning. This book is suitable for all professionals and scientists in understanding how ANN is applied in various areas....

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  • Tham khảo sách 'artificial neural networks methodological advances and biomedical applications_1', công nghệ thông tin, kỹ thuật lập trình phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of architectures, methodologies, and applications of artificial neural networks.

    pdf264p phoebe75 19-02-2013 40 11   Download

  • Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications in various areas. The purpose of this book is to provide recent advances of artificial neural networks in biomedical applications. The book begins with fundamentals of artificial neural networks, which cover an introduction, design, and optimization.

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  • Artificial neural networks are learning machines inspired by the operation of the human brain, and they consist of many artificial neurons connected in parallel. These networks work via non-linear mapping techniques between the inputs and outputs of a model indicative of the operation of a real system. Although introduced over 40 years ago, many wonderful new developments in neural networks have taken place as recently as during the last decade or so.

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  • This lecture introduces you to the fascinating subject of classification and regression with artificial neural networks. In particular, it introduces multi-layer perceptrons (MLPs); teaches you how to combine probability with neural networks so that the nets can be applied to regression, binary classification and multivariate classification; discusses the modular approach to backpropagation and neural network construction in Torch, which was introduced in the previous lecture.

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  • (BQ) Present study attempts to model and optimize the complex electrical discharge machining (EDM) process using soft computing techniques. Artificial neural network (ANN) with back propagation algorithm is used to model the process. As the output parameters are conflicting in nature so there is no single combination of cutting parameters, which provides the best machining performance. A multi-objective optimization method, non-dominating sorting genetic algorithm-II is used to optimize the process.

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  • This thesis examines how artificial neural networks can benefit a large vocabulary, speaker independent, continuous speech recognition system. Currently, most speech recognition systems are based on hidden Markov models (HMMs), a statistical framework that supports both acoustic and temporal modeling. Despite their state-of-the-art performance, HMMs make a number of suboptimal modeling assumptions that limit their potential effectiveness.

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  • Interest in using artificial neural networks (ANNs) for forecasting has led to a tremendous surge in research activities in the past decade. While ANNs provide a great deal of promise, they also embody much uncertainty. Researchers to date are still not certain about the effect of key factors on forecasting performance of ANNs. This paper presents a state-of-the-art survey of ANN applications in forecasting.

    pdf28p ba_obama 26-05-2011 63 20   Download

  • The RNNs (Recurrent Neural Networks) are a general case of artificial neural networks where the connections are not feed-forward ones only. In RNNs, connections between units form directed cycles, providing an implicit internal memory. Those RNNs are adapted to problems dealing with signals evolving through time. Their internal memory gives them the ability to naturally take time into account. Valuable approximation results have been obtained for dynamical systems.

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  • ất đai là tài nguyên của mỗi quốc gia vô cùng quý giá, là tư liệu sản xuất đặc biệt, là thành phần quan trọng hàng đầu của môi trường sống, là địa bàn phân bố các khu dân cư, xây dựng các cơ sở kinh tế, văn hóa, an ninh và quốc phòng. Việc quản lý sử dụng hiệu quả, bền vững tài nguyên đất là mục tiêu của mọi quốc gia. Vấn đề quản lý và sử dụng đất đai đã có những ảnh hưởng lớn đối với sự phát triển KTXH. Trong quản lý, sử dụng đất đai,...

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  • Bài giảng Máy học và mạng neural - Bài 4 trang bị cho người học những kiên thức về mạng nơron nhân tạo (Artificial Neural Networks). Các nội dung chính được trình bày trong chương này gồm có: Các bài toán phù hợp với ANNs, cấu tạo ANNs, các hàm ngưỡng, kiến trúc ANNs,... Mời các bạn cùng tham khảo.

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  • Tuyển tập các báo cáo nghiên cứu khoa học trên tạp chí khoa học vật lý quốc tế đề tài: SIMULTANEOUS SPECTROPHOTOMETRIC DETERMINATION OF Pb(II) AND Cd(II) USING ARTIFICIAL NEURAL NETWORKS

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Correction: Error mapping controller: a closed loop neuroprosthesis controlled by artificial neural networks

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  • Tham khảo tài liệu 'artificial neural networks industrial and control engineering applications part 2', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Tham khảo tài liệu 'artificial neural networks industrial and control engineering applications part 3', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    pdf35p 239198718 13-01-2012 21 4   Download

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