SKU/Artículo: AMZ-B017161R5M

Interpretability of Computational Intelligence-Based Regression Models (SpringerBriefs in Computer Science)

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The key idea of this book is that hinging hyperplanes, neural networks and support vector machines can be transformed into fuzzy models, and interpretability of the resulting rule-based systems can be ensured by special model reduction and visualization techniques. The first part of the book deals with the identification of hinging hyperplane-based regression trees. The next part deals with the validation, visualization and structural reduction of neural networks based on the transformation of the hidden layer of the network into an additive fuzzy rule base system. Finally, based on the analogy of support vector regression and fuzzy models, a three-step model reduction algorithm is proposed to get interpretable fuzzy regression models on the basis of support vector regression.The authors demonstrate real-world use of the algorithms with examples taken from process engineering, and they support the text with downloadable Matlab code. The book is suitable for researchers, graduate students and practitioners in the areas of computational intelligence and machine learning.

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D.ROB D.ROBAI Conference Headphones, Bone Conduction Concept, Over-Ear Wireless Bluetooth Headphones, Noise Reduction, Real-Time Recording, Simultaneous Interpretation, Compatible with Huawei, Apple, Huawei Xiaomi K69, Beige Color

AI Smart Translation Real-Time Conference Simultaneous Interpretation

SAMSUNG Galaxy Buds 3 Pro AI True Wireless Bluetooth Earbuds, Noise Cancelling, Sound Optimization, Real-Time Interpreter, Redesigned Comfort Fit Latin American Version (Silver)

Samsung Galaxy Buds 3 Pro AI True Wireless Bluetooth Earbuds, Noise Cancelling, Sound Optimization, Real-Time Interpreter, Redesigned Comfort Fit Latin American Version (Silver)

Interpretability and Explainability in AI Using Python: Decrypt AI Decision-Making Using Interpretability and Explainability with Python to Build Reliable Machine Learning Systems (English Edition)

Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches

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