{"product_id":"neural-computing-for-advanced-applications-9789819770038","title":"Neural Computing for Advanced Applications","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- \u003cstrong\u003eComputational intelligence, nature-inspired optimizers, their engineering applications, and benchmarks\u003c\/strong\u003e.\u003cbr\u003e.- Path planning of mobile robot with improved RRT algorithm.\u003cbr\u003e.- Adaptive allocation method of terminal container parameters based on evolutionary game.\u003cbr\u003e.- Unmanned Combat Aerial Vehicle Air Combat Decision-Making Method Based on Trust Region-based Proximal Policy Optimization with Rollback.\u003cbr\u003e.- Anomaly Detection of Residential Electricity Consumption Based on Ensemble Model of PSO-AE-XGBOOST.\u003cbr\u003e.- Hybrid neuro-fuzzy modeling for electricity consump-tion Prediction in middle-income Gauteng, South Afri-ca: utilizing fuzzy c-means method.\u003cbr\u003e.- Differential Evolution Algorithm Based on Staged Adaptive Mutation Strategy Selection.\u003cbr\u003e.- Dual-Population Adaptive Strategy Comprehensive Learning Particle Swarm Optimization.\u003cbr\u003e.- Many-objective artificial bee colony algorithm based on dual indicators.\u003cbr\u003e.- Towards Efficient Federated Learning via Vehicle Selection and Resource Optimization in IoV.\u003cbr\u003e.- Application of machine learning in enterprise financial risk assessment: A study about China's A-share listed manufacturing companies.\u003cbr\u003e.- A Decision Method Combining Multi granularity Rough Set and VIKOR Method.\u003cbr\u003e.- A method for identifying fraudulent behavior in electricity bill collection based on nearest neighbor metric matching.\u003cbr\u003e.- Fuzzy PID-Based Control Method for Thickness Uniformity in Blown Film.\u003cbr\u003e.- Many-objective Artificial Bee Colony Algorithm Based on Decision Variable Grouping.\u003cbr\u003e.- A NOVEL ELM OPTIMIZATION AND ITS APPLICATION IN IoT INTRUSION DETECTION.\u003cbr\u003e.- Optimization of Rural Integrated Energy System with Shared Energy Storage on Multiple-timescales.\u003cbr\u003e.- Synergistic Integration of Renewable Energy and HVDC Technology for Enhanced Multi-objective Economic Emission Dispatch using the Salp Swarm Algorithm.\u003cbr\u003e.- Switched Data-Driven Model based Precise Forecasting of Photovoltaic Energy Generation.\u003cbr\u003e.- Carbon Emission Efficiency Analysis of Pearl River Delta Ports Based on the Super-SBM-GML Index Model.\u003cbr\u003e.- MWOA-SVM Based Algorithm in Tumor Cell Detection Research.\u003cbr\u003e.- Rapid Detection of Formaldehyde Emission from Wood-based Panels Based on the IPOA-XGBoost.\u003cbr\u003e.- Enhancing Rural Electrification: Delivering Affordable and Clean Electricity through Mobile Battery Solutions.\u003cbr\u003e.- A novel electricity measurement system based on electricity usage identification.\u003cbr\u003e.- Shared Task on NCAA 2024: Chinese Diabetes Question Classification.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212901867863,"sku":"9789819770038","price":76.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/neural-computing-for-advanced-applications-9789819770038","provider":"Book Curl","version":"1.0","type":"link"}