The book "Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing" offers a comprehensive examination of new methods for intelligent pattern recognition using soft computing techniques. It addresses the integration of neural networks, fuzzy logic, and genetic algorithms to tackle the challenges of pattern recognition. The monograph emphasizes the need to develop hybrid intelligent systems that combine various soft computing techniques to enhance the efficiency and accuracy of pattern recognition systems. Furthermore, it presents the results of applying these systems to real-world problems such as facial recognition, fingerprint analysis, and speech recognition. This work is aimed at scientists and engineers who apply new computational and mathematical tools in intelligent pattern recognition and can also serve as a textbook for graduate students in the fields of soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.