標(biāo)題: Titlebook: Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons; Julian Knaup Book 2022 The Editor(s) (if applicable) [打印本頁(yè)] 作者: 乳缽 時(shí)間: 2025-3-21 18:57
書(shū)目名稱Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons影響因子(影響力)
書(shū)目名稱Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons影響因子(影響力)學(xué)科排名
書(shū)目名稱Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons被引頻次
書(shū)目名稱Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons被引頻次學(xué)科排名
書(shū)目名稱Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons年度引用
書(shū)目名稱Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons年度引用學(xué)科排名
書(shū)目名稱Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons讀者反饋
書(shū)目名稱Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons讀者反饋學(xué)科排名
作者: maculated 時(shí)間: 2025-3-21 23:29 作者: 無(wú)關(guān)緊要 時(shí)間: 2025-3-22 03:32
https://doi.org/10.1007/978-3-658-38955-0MLMVN; MVN; Class Assignment; Complex-Valued; Machine Learning; Classification; CVNN; Fourier Transform; Pha作者: 噴油井 時(shí)間: 2025-3-22 05:23
Introduction,ore, machine learning has recently gained popularity and importance. In particular, areas of pattern recognition and natural language processing have been revolutionized by Deep Learning [KSH12][HS97].作者: 吸氣 時(shí)間: 2025-3-22 09:53
Preliminaries,are introduced in Chapter 2.1, and then the computational models of artificial neural networks are explored in more detail in Chapter 2.2. For this purpose, a brief review of the history of artificial neural networks is given, and their architecture and training are discussed.作者: contradict 時(shí)間: 2025-3-22 15:33 作者: 重力 時(shí)間: 2025-3-22 20:03 作者: 前兆 時(shí)間: 2025-3-22 23:14
Evaluation,ter 5.2 presents two datasets and examines them for their class similarity. Afterwards, Chapter 5.3 provides the results of the evaluation. Finally, Chapter 5.4 concludes with a discussion and Chapter 5.5 summarizes the evaluation.作者: 騙子 時(shí)間: 2025-3-23 02:30 作者: Postmenopause 時(shí)間: 2025-3-23 06:59
Conclusion and Outlook,This chapter summarizes the entire thesis and its findings. In addition, an outlook is given on topics that require further consideration.作者: Anterior 時(shí)間: 2025-3-23 11:53 作者: evaculate 時(shí)間: 2025-3-23 16:45
Book 2022a plain derivative-free learning algorithm. In addition, multi-valued neurons (MVNs) offer a multi-valued threshold logic resulting in the ability to replace multiple conventional output neurons in classification tasks. Therefore, several classes can be assigned to one output neuron. This book intro作者: 頑固 時(shí)間: 2025-3-23 19:02
Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons作者: MOCK 時(shí)間: 2025-3-24 01:20 作者: 蓋他為秘密 時(shí)間: 2025-3-24 04:45
2625-3577 cting to the phase information for image recognition. The evaluation was performed on the Sensorless Drive Diagnosis dataset and the Fashion MNIST dataset.978-3-658-38954-3978-3-658-38955-0Series ISSN 2625-3577 Series E-ISSN 2625-3615 作者: CORD 時(shí)間: 2025-3-24 08:52
iatric abdomen, advances in MRI specifically relevant to cancer patients, and the use of abdominal MRI at 3 Tesla. This book, written by leading experts, will be of value to all who are involved in learning, performing, interpreting, and reporting abdominal MRI examinations. .978-3-662-51882-3978-3-540-85689-4作者: gratify 時(shí)間: 2025-3-24 12:00 作者: Fierce 時(shí)間: 2025-3-24 16:49 作者: 種子 時(shí)間: 2025-3-24 20:37 作者: calumniate 時(shí)間: 2025-3-25 02:12
Julian Knaupiatric abdomen, advances in MRI specifically relevant to cancer patients, and the use of abdominal MRI at 3 Tesla. This book, written by leading experts, will be of value to all who are involved in learning, performing, interpreting, and reporting abdominal MRI examinations. .978-3-662-51882-3978-3-540-85689-4作者: 金哥占卜者 時(shí)間: 2025-3-25 04:39
Julian Knaupiatric abdomen, advances in MRI specifically relevant to cancer patients, and the use of abdominal MRI at 3 Tesla. This book, written by leading experts, will be of value to all who are involved in learning, performing, interpreting, and reporting abdominal MRI examinations. .978-3-662-51882-3978-3-540-85689-4作者: 禁止 時(shí)間: 2025-3-25 07:35 作者: 表否定 時(shí)間: 2025-3-25 14:55
iatric abdomen, advances in MRI specifically relevant to cancer patients, and the use of abdominal MRI at 3 Tesla. This book, written by leading experts, will be of value to all who are involved in learning, performing, interpreting, and reporting abdominal MRI examinations. .978-3-662-51882-3978-3-540-85689-4作者: 輕快來(lái)事 時(shí)間: 2025-3-25 16:30 作者: 痛得哭了 時(shí)間: 2025-3-25 21:58
Julian Knaup wealth of high-quality illustrations.Offers chapters on ped.This volume, which explains why, when, and how abdominal MRI should be used, focuses in particular on the most recent developments in the field. After introductory chapters on technical considerations, protocol optimization, and contrast a作者: 防御 時(shí)間: 2025-3-26 03:28
Julian Knaup wealth of high-quality illustrations.Offers chapters on ped.This volume, which explains why, when, and how abdominal MRI should be used, focuses in particular on the most recent developments in the field. After introductory chapters on technical considerations, protocol optimization, and contrast a作者: 使更活躍 時(shí)間: 2025-3-26 06:27 作者: thyroid-hormone 時(shí)間: 2025-3-26 11:11 作者: 非秘密 時(shí)間: 2025-3-26 13:53
Julian Knaup wealth of high-quality illustrations.Offers chapters on ped.This volume, which explains why, when, and how abdominal MRI should be used, focuses in particular on the most recent developments in the field. After introductory chapters on technical considerations, protocol optimization, and contrast a作者: mastoid-bone 時(shí)間: 2025-3-26 19:23 作者: Peculate 時(shí)間: 2025-3-27 00:14 作者: 偶然 時(shí)間: 2025-3-27 04:09 作者: 四指套 時(shí)間: 2025-3-27 08:31 作者: gout109 時(shí)間: 2025-3-27 09:41 作者: HPA533 時(shí)間: 2025-3-27 15:20
Approach,th an image dataset and a classical dataset with numerical features can be evaluated in the following. In chapter 4.1, the data preparation and processing are discussed, on which a feature engineering is carried out in chapter 4.2.作者: Traumatic-Grief 時(shí)間: 2025-3-27 21:22
Evaluation,ter 5.2 presents two datasets and examines them for their class similarity. Afterwards, Chapter 5.3 provides the results of the evaluation. Finally, Chapter 5.4 concludes with a discussion and Chapter 5.5 summarizes the evaluation.
