標(biāo)題: Titlebook: Analog IC Placement Generation via Neural Networks from Unlabeled Data; António Gusm?o,Nuno Horta,Ricardo Martins Book 2020 The Author(s), [打印本頁(yè)] 作者: 口語(yǔ) 時(shí)間: 2025-3-21 16:25
書(shū)目名稱(chēng)Analog IC Placement Generation via Neural Networks from Unlabeled Data影響因子(影響力)
書(shū)目名稱(chēng)Analog IC Placement Generation via Neural Networks from Unlabeled Data影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Analog IC Placement Generation via Neural Networks from Unlabeled Data網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Analog IC Placement Generation via Neural Networks from Unlabeled Data網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Analog IC Placement Generation via Neural Networks from Unlabeled Data被引頻次
書(shū)目名稱(chēng)Analog IC Placement Generation via Neural Networks from Unlabeled Data被引頻次學(xué)科排名
書(shū)目名稱(chēng)Analog IC Placement Generation via Neural Networks from Unlabeled Data年度引用
書(shū)目名稱(chēng)Analog IC Placement Generation via Neural Networks from Unlabeled Data年度引用學(xué)科排名
書(shū)目名稱(chēng)Analog IC Placement Generation via Neural Networks from Unlabeled Data讀者反饋
書(shū)目名稱(chēng)Analog IC Placement Generation via Neural Networks from Unlabeled Data讀者反饋學(xué)科排名
作者: Arable 時(shí)間: 2025-3-21 22:02
Artificial Neural Network Overview,arison of the different used methods for each of these components is made, such as the functioning of each neuron, the learning process that makes use of optimization tools, the hyperparameters that define the model’s architecture, and the influence of the selected features.作者: Calculus 時(shí)間: 2025-3-22 02:59 作者: GRE 時(shí)間: 2025-3-22 07:43
Analog IC Placement Generation via Neural Networks from Unlabeled Data978-3-030-50061-0Series ISSN 2191-530X Series E-ISSN 2191-5318 作者: intention 時(shí)間: 2025-3-22 11:09
https://doi.org/10.1007/978-3-322-99411-0ration and the limitations that the current design flow faces. The standard procedures are presented. Furthermore, the concept of machine learning and the use of this branch of artificial intelligence as a step towards the production of electronic design automation tools for analog and mixed signal integrated circuits is introduced.作者: FOLD 時(shí)間: 2025-3-22 16:44
Hans-Jürgen Dotzler,Siegfried Schickarison of the different used methods for each of these components is made, such as the functioning of each neuron, the learning process that makes use of optimization tools, the hyperparameters that define the model’s architecture, and the influence of the selected features.作者: Isometric 時(shí)間: 2025-3-22 17:15
Hans-Jürgen Dotzler,Siegfried Schickictions. Attention is placed into the development of the input features in order to expand the solution’s scope and increase generalization, and, the introduction of a new loss function that evaluates the prediction made through the fulfillment of the circuit’s topological constraints.作者: 偽書(shū) 時(shí)間: 2025-3-22 21:20
Heribert Meffert,Ralf BirkelbachIn this chapter, the constraints which influence the process of layout generation are explained, along with the description of four main approaches of existing EDA tools for analog placement/for analog IC layout.作者: BILK 時(shí)間: 2025-3-23 04:16
https://doi.org/10.1007/978-3-322-83625-0This chapter details the tests and analysis performed on the different ANN models. These models differ by the format of their input vector or by the loss function used during training, while the network’s architecture is kept the same. The objective is to compare the impact of these key parts of the model.作者: 甜得發(fā)膩 時(shí)間: 2025-3-23 05:58
https://doi.org/10.1007/978-3-322-83625-0This chapter wraps up this book and present some future directions for further applications of ANNs towards the automation of the placement process of analog integrated circuit layout design.作者: 燕麥 時(shí)間: 2025-3-23 11:25 作者: 才能 時(shí)間: 2025-3-23 15:30 作者: CLEFT 時(shí)間: 2025-3-23 19:34
Conclusions and Future Work,This chapter wraps up this book and present some future directions for further applications of ANNs towards the automation of the placement process of analog integrated circuit layout design.作者: hypotension 時(shí)間: 2025-3-23 23:39 作者: atopic 時(shí)間: 2025-3-24 04:53 作者: 中世紀(jì) 時(shí)間: 2025-3-24 10:14
ANN Models for Analog Placement Automation,ictions. Attention is placed into the development of the input features in order to expand the solution’s scope and increase generalization, and, the introduction of a new loss function that evaluates the prediction made through the fulfillment of the circuit’s topological constraints.作者: 平靜生活 時(shí)間: 2025-3-24 13:14
https://doi.org/10.1007/978-3-322-99411-0ration and the limitations that the current design flow faces. The standard procedures are presented. Furthermore, the concept of machine learning and the use of this branch of artificial intelligence as a step towards the production of electronic design automation tools for analog and mixed signal 作者: 步履蹣跚 時(shí)間: 2025-3-24 16:44 作者: adjacent 時(shí)間: 2025-3-24 23:03
Hans-Jürgen Dotzler,Siegfried Schickictions. Attention is placed into the development of the input features in order to expand the solution’s scope and increase generalization, and, the introduction of a new loss function that evaluates the prediction made through the fulfillment of the circuit’s topological constraints.作者: 委屈 時(shí)間: 2025-3-25 02:45
https://doi.org/10.1007/978-3-030-50061-0Analog IC Placement; Artificial Neural Networks; Machine Learning; Electronic Design Automation; ANNs; An作者: 名字 時(shí)間: 2025-3-25 03:26 作者: monogamy 時(shí)間: 2025-3-25 08:55 作者: Ingratiate 時(shí)間: 2025-3-25 14:06
SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/a/image/155850.jpg作者: maintenance 時(shí)間: 2025-3-25 17:29
2191-530X on the use of artificial neural networks (ANNs).Details theIn this book, innovative research using artificial neural networks (ANNs) is conducted to automate the placement task in analog integrated circuit layout design, by creating a generalized model that can generate valid layouts at push-button作者: GLUE 時(shí)間: 2025-3-25 21:41
Book 2020out design, by creating a generalized model that can generate valid layouts at push-button speed. Further, it exploits ANNs’ generalization and push-button speed prediction (once fully trained) capabilities, and details the optimal description of the input/output data relation. The description devel作者: 辭職 時(shí)間: 2025-3-26 03:33
2191-530X s of thesedescriptions, an unfamiliar overall topology can be broken down into devices that are subject to the same constraints as a device in one of the training topologies. ..In the experimental results chapt978-3-030-50060-3978-3-030-50061-0Series ISSN 2191-530X Series E-ISSN 2191-5318 作者: Obverse 時(shí)間: 2025-3-26 07:41 作者: Picks-Disease 時(shí)間: 2025-3-26 12:20
Analog IC Placement Generation via Neural Networks from Unlabeled Data作者: 使無(wú)效 時(shí)間: 2025-3-26 15:46
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